Anti-interference signal dynamic regulation method for airborne comprehensive regulator

Abstract

The invention relates to the technical field of signal regulation, and discloses an anti-interference signal dynamic regulation method for an airborne comprehensive regulator, which comprises the following steps: acquiring interference signal data of the airborne comprehensive regulator; classifying the interference signal data based on a preset interference classification model, determining a corresponding dominant interference data type, and calling a corresponding adjustment algorithm according to the dominant interference data type to determine a dynamic adjustment parameter; adjusting the signal data of the airborne comprehensive regulator according to the dynamic adjustment parameter, determining the signal quality after adjustment, and carrying out iterative optimization on the dynamic adjustment parameter by adopting a gradient descent algorithm until the signal quality meets a preset index; and acquiring a flight test stage, presetting an adjustment mode according to the interference characteristics of the flight test stage, and automatically switching the adjustment mode according to the matching degree of the interference signal data and the adjustment mode. According to the anti-interference signal dynamic regulation method, the stability and reliability of the airborne comprehensive regulator are remarkably improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of signal regulation, in particular to an anti-interference signal dynamic regulation method for an airborne integrated regulator. BACKGROUND

[0002] In the field of aerospace, the airborne integrated regulator, as the core control unit, is responsible for collecting, analyzing and regulating the operating parameters of key equipment such as engines and avionics systems. However, during flight, the aircraft will face complex electromagnetic environments (such as radar radiation, communication signal interference), power supply system fluctuations (such as voltage surges during engine start-up, voltage fluctuations caused by load changes), and signal transmission distortion (such as cable coupling interference, signal attenuation), etc. These interferences will cause the collected signals of the airborne integrated regulator to deviate, thereby affecting the accuracy of the control commands, and in severe cases, may threaten flight safety.

[0003] Existing anti-interference technologies mostly use fixed filtering, static voltage stabilization, etc., which are difficult to dynamically adjust according to different interference types and interference intensities. In the face of composite interference or sudden changes in interference levels, the anti-interference effect is not good, and there is a lack of adaptive regulation of interference characteristics in different stages of flight (such as take-off, cruising, and landing). Therefore, there is an urgent need for an anti-interference signal dynamic regulation method that can accurately identify interference types, dynamically optimize regulation parameters, and adapt to all stages of flight, to improve the anti-interference ability and operational stability of the airborne integrated regulator. SUMMARY

[0004] The purpose of the present application is to provide an anti-interference signal dynamic regulation method for an airborne integrated regulator, aiming to solve one or more of the above problems.

[0005] The present application provides an anti-interference signal dynamic regulation method for an airborne integrated regulator, applied to an airborne integrated regulator, which includes a signal acquisition module, a power supply module, an interference detection module, a control module and a dynamic regulation module. The method comprises: Obtaining interference signal data of the airborne integrated regulator, the interference signal data including electromagnetic interference data, power supply interference data and signal interference data; Classifying the interference signal data based on a pre-set interference classification model, determining the corresponding dominant interference data type, and calling the corresponding regulation algorithm to determine the dynamic regulation parameters according to the dominant interference data type; Regulating the signal data of the airborne integrated regulator according to the dynamic regulation parameters, and determining the signal quality of the regulated signal data. Based on the signal quality, the gradient descent algorithm is used to iteratively optimize the dynamic regulation parameters until the signal quality meets the pre-set indicators; During the flight test phase, an adjustment mode is preset based on the interference characteristics of the flight test phase, and the adjustment mode is automatically switched according to the matching degree between the interference signal data and the adjustment mode.

[0006] Preferably, the signal acquisition module is used to acquire signal data from the airborne integrated controller; the power supply module is used to provide power to external testing equipment; the interference detection module includes an electromagnetic interference sensor, a voltage fluctuation detector, and a signal distortion analyzer; the control module is used to receive data from the interference detection module, execute a dynamic adjustment algorithm, and output control commands; the dynamic adjustment module includes a configurable filtering unit, an adaptive voltage regulation unit, and a coupling interference suppression unit.

[0007] Preferably, the electromagnetic interference data is acquired through an electromagnetic interference sensor; the electromagnetic interference data includes: electromagnetic radiation intensity and frequency; The power supply interference data is obtained through a voltage fluctuation detector. The power supply interference data includes the deviation between the actual voltage value and the rated voltage value of the airborne integrated regulator and the voltage change rate. The signal interference data is obtained through a signal distortion analyzer, and the signal interference data includes the signal-to-noise ratio and total harmonic distortion of the signal data.

[0008] Preferably, when classifying the interference signal data based on a preset interference classification model to determine the corresponding dominant interference data type, the interference classification model is trained using a support vector machine algorithm, and the training dataset contains interference signal data from flight tests. The dominant types of interference include electromagnetic interference, power supply fluctuation interference, signal distortion interference, and composite interference.

[0009] Preferably, the method for determining the dominant interfering data type is as follows: Electromagnetic interference is classified according to the intensity of electromagnetic radiation. If the intensity of electromagnetic radiation is ≤50dBμV / m, the electromagnetic interference is determined to be of the low interference level; if 50dBμV / m < intensity of electromagnetic radiation < 80dBμV / m, the electromagnetic interference is determined to be of the medium interference level; if the intensity of electromagnetic radiation is ≥80dBμV / m, the electromagnetic interference is determined to be of the high interference level. Power supply fluctuation interference is determined based on the deviation value and voltage change rate. When the deviation value is ≥ ±0.5V or the change rate is ≥ 0.2V / ms, it is determined to be power supply fluctuation interference. Signal distortion interference is determined based on the signal-to-noise ratio and total harmonic distortion. When the signal-to-noise ratio is ≤30dB or the total harmonic distortion is ≥5%, it is determined to be signal distortion interference.

[0010] Preferably, the dynamic adjustment parameters are determined by calling the corresponding adjustment algorithm based on the dominant interference data type, including: If the dominant interference data type is electromagnetic interference: When the electromagnetic interference is at a low level, the filter unit can be configured to use a first-order RC low-pass filter, with the cutoff frequency set to 1.2 times the interference frequency. When the electromagnetic interference is of medium level, a second-order Butterworth band-stop filter is used, with the center frequency matching the interference frequency and the stopband attenuation set to 40dB. When the electromagnetic interference is at a high level, an electromagnetic shielding drive circuit is superimposed, and the stopband attenuation of the filter unit is increased to 60dB. If the dominant interference data type is power supply fluctuation interference: When the deviation value is ≤ ±1V and the rate of change is ≤ 0.5V / ms, the adaptive voltage regulator unit adopts proportional regulation with a proportional coefficient Kp = 0.8. When the deviation value is greater than ±1V or the rate of change is greater than 0.5V / ms, proportional-integral-derivative regulation is adopted, with Kp=1.2, integral coefficient Ki=0.5, and derivative coefficient Kd=0.1. At the same time, the voltage compensation circuit is activated, and the compensation amount is 1.1 times the deviation value. If the dominant interference data type is signal distortion interference: If the signal attenuates, increase the gain of the preamplifier of the signal acquisition module to N times the original gain, where N = 30 / signal-to-noise ratio; If harmonic interference occurs, the filtering unit can be configured to use high-pass filtering, with the cutoff frequency set to 0.1 times the fundamental frequency, while the sampling frequency of the signal acquisition module is reduced to 0.8 times the original frequency. If the dominant interference data type is composite interference: A weighted allocation algorithm is adopted, with electromagnetic interference weight of 0.4, power supply fluctuation interference weight of 0.3, and signal distortion interference weight of 0.3.

[0011] Preferably, the adjustment actions of the dynamic adjustment module include: configurable filter unit switching filter type, adjusting cutoff frequency and attenuation; The adaptive voltage regulator unit switches between adjustment modes, adjustment coefficients, and compensation amounts; The coupling interference suppression unit activates the common-mode inductor and grounding protection circuit.

[0012] Preferably, the preset indicators are a signal-to-noise ratio ≥40dB, total harmonic distortion ≤2%, and a deviation value ≤±0.2V.

[0013] Preferably, the preset adjustment modes corresponding to the flight test phase include: Takeoff phase: Employs a "strong anti-interference + rapid voltage stabilization" mode; Cruise phase: Employs an "energy-saving + precise adjustment" mode; Landing phase: "Signal priority + stable power supply" mode is adopted.

[0014] Preferably, the matching degree is determined by calculating the Euclidean distance between the interference signal data and the preset adjustment mode. If the Euclidean distance is ≤0.2 and the matching degree is ≥85%, the current mode is maintained; otherwise, a mode switch is triggered.

[0015] Compared with the prior art, the beneficial effects of the present invention are that it achieves multi-dimensional interference data acquisition through electromagnetic interference sensors, voltage fluctuation detectors and signal distortion analyzers, and combined with the interference classification model trained by support vector machines, it can accurately identify electromagnetic interference, power supply fluctuation interference, signal distortion interference and composite interference, providing precise direction for subsequent adjustment.

[0016] For different dominant interference types and levels, corresponding adjustment algorithms are invoked to dynamically adjust parameters such as filter type, voltage regulation mode, and gain coefficient. At the same time, the adjustment parameters are iteratively optimized through gradient descent algorithm to ensure that the signal quality meets the preset indicators (signal-to-noise ratio ≥40dB, total harmonic distortion ≤2%, voltage deviation ≤±0.2V), and the anti-interference effect is significantly improved.

[0017] Based on the interference characteristics of the takeoff, cruise, and landing phases, corresponding adjustment modes are preset. The matching degree is calculated by Euclidean distance to achieve automatic mode switching. The switching response time is ≤100ms, which not only ensures the anti-interference capability of critical phases (such as takeoff and landing) but also reduces energy consumption during the cruise phase, thereby improving the overall operating efficiency of the airborne integrated controller. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0019] Figure 1 This is a flowchart illustrating a dynamic adjustment method for anti-interference signals in an airborne integrated controller according to the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0021] like Figure 1As shown, this invention provides a method for dynamic adjustment of anti-interference signals for an airborne integrated controller, applied to an airborne integrated controller including a signal acquisition module, a power supply module, an interference detection module, a control module, and a dynamic adjustment module. The method includes: Acquire interference signal data from the airborne integrated controller, the interference signal data including electromagnetic interference data, power supply interference data and signal interference data; The interference signal data is classified based on a preset interference classification model to determine the corresponding dominant interference data type, and the corresponding adjustment algorithm is called according to the dominant interference data type to determine the dynamic adjustment parameters. The signal data of the airborne integrated controller is adjusted according to the dynamic adjustment parameters, and the signal quality corresponding to the adjusted signal data is determined. Based on the signal quality, the dynamic adjustment parameters are iteratively optimized using a gradient descent algorithm until the signal quality meets the preset index. During the flight test phase, an adjustment mode is preset based on the interference characteristics of the flight test phase, and the adjustment mode is automatically switched according to the matching degree between the interference signal data and the adjustment mode.

[0022] This dynamic adjustment method for anti-interference signals improves the stability and reliability of the airborne integrated controller. By accurately acquiring and classifying interference signal data, it can quickly locate the dominant interference type and target the adjustment algorithm to determine dynamic adjustment parameters, thereby improving the efficiency and accuracy of adjustment.

[0023] During the adjustment process, the gradient descent algorithm is used to iteratively optimize the dynamic adjustment parameters, ensuring that the adjusted signal data meets the preset high-quality indicators. This enables the airborne integrated controller to operate stably and accurately under complex electromagnetic environments and power supply conditions, reducing the possibility of equipment failure and misoperation caused by signal interference, and providing strong protection for the safe flight of the aircraft.

[0024] In addition, the adjustment mode is preset according to the interference characteristics during the flight test phase, and the adjustment mode can be automatically switched according to the matching degree of interference signal data and adjustment mode, which enhances the adaptability and flexibility of the airborne integrated controller.

[0025] In some embodiments of this application, the signal acquisition module is used to acquire signal data from the airborne integrated controller; the power supply module is used to provide power to external testing equipment; the interference detection module includes an electromagnetic interference sensor, a voltage fluctuation detector, and a signal distortion analyzer; the control module is used to receive data from the interference detection module, execute a dynamic adjustment algorithm, and output control commands; the dynamic adjustment module includes a configurable filtering unit, an adaptive voltage regulation unit, and a coupling interference suppression unit.

[0026] Specifically, the signal acquisition module is used to acquire various types of test signals (such as analog signals, digital signals, and pulse signals) during flight tests, and has a built-in signal preprocessing circuit; the power supply module is used to provide stable power to external test equipment, including a DC-DC converter and a voltage detection unit; the interference detection module includes an electromagnetic interference sensor (detecting electromagnetic radiation intensity and frequency), a voltage fluctuation detector (detecting power supply voltage deviation and rate of change), and a signal distortion analyzer (analyzing the signal-to-noise ratio and harmonic distortion of the acquired signals); the control module is based on an FPGA+ARM architecture and is used to receive data from the interference detection module, execute dynamic adjustment algorithms, and output control commands; the dynamic adjustment module includes a configurable filtering unit (for signal anti-interference), an adaptive voltage regulation unit (for power supply stability), and a coupling interference suppression unit (for eliminating mutual interference between signals and power supply).

[0027] In some embodiments of this application, the electromagnetic interference data is acquired by an electromagnetic interference sensor; the electromagnetic interference data includes electromagnetic radiation intensity and frequency; the power supply interference data is acquired by a voltage fluctuation detector, and the power supply interference data includes the deviation between the actual voltage value and the rated voltage value of the airborne integrated regulator and the voltage change rate; the signal interference data is acquired by a signal distortion analyzer, and the signal interference data includes the signal-to-noise ratio and total harmonic distortion of the signal data.

[0028] In some embodiments of this application, when classifying the interference signal data based on a preset interference classification model to determine the corresponding dominant interference data type, the interference classification model is trained using a support vector machine algorithm, and the training dataset contains interference signal data from flight tests; the dominant interference data types include electromagnetic interference, power supply fluctuation interference, signal distortion interference, and composite interference.

[0029] Understandably, this interference signal data classification method based on a pre-defined interference classification model significantly improves the accuracy and efficiency of interference identification. The Support Vector Machine (SVM) algorithm possesses powerful classification capabilities and generalization performance. Trained using interference signal data from flight tests, the interference classification model can accurately adapt to complex interference situations in actual flight. Faced with various interference signals, the model can quickly and accurately classify them into dominant interference types, such as electromagnetic interference, power supply fluctuation interference, signal distortion interference, and composite interference. Accurate interference classification provides a solid foundation for subsequent dynamic adjustments. The control module can selectively invoke corresponding adjustment strategies and algorithms based on different dominant interference types. For example, for electromagnetic interference, the configurable filter unit can be activated first; for power supply fluctuation interference, the adaptive voltage regulation unit is used for compensation. This precise adjustment method avoids blind adjustments, improves the effectiveness of adjustments, and further enhances the anti-interference capability of the airborne integrated controller.

[0030] In some embodiments of this application, the method for determining the dominant interference type is specifically as follows: Electromagnetic interference is classified according to electromagnetic radiation intensity. If the electromagnetic radiation intensity is ≤50dBμV / m, the electromagnetic interference is determined to be of low interference level; if 50dBμV / m < electromagnetic radiation intensity <80dBμV / m, the electromagnetic interference is determined to be of medium interference level; if the electromagnetic radiation intensity is ≥80dBμV / m, the electromagnetic interference is determined to be of high interference level. Power supply fluctuation interference is determined according to the deviation value and voltage change rate. When the deviation value is ≥±0.5V or the change rate is ≥0.2V / ms, it is determined to be power supply fluctuation interference. Signal distortion interference is determined according to the signal-to-noise ratio and total harmonic distortion. When the signal-to-noise ratio is ≤30dB or the total harmonic distortion is ≥5%, it is determined to be signal distortion interference.

[0031] Understandably, this detailed method for determining the dominant interference type further refines the identification criteria for interference signals, making anti-interference adjustment more precise and efficient. By classifying electromagnetic interference according to its electromagnetic radiation intensity, the control module can adopt more nuanced adjustment strategies for different levels of electromagnetic interference. For example, relatively simple filtering measures can be used for low-level electromagnetic interference, while for high-level electromagnetic interference, more complex and powerful anti-interference mechanisms, such as multi-level filtering and shielding measures, may be required. In determining power supply fluctuation interference, the deviation value and voltage change rate are used as clear criteria, enabling timely and accurate identification of power supply fluctuations. Once power supply fluctuation interference is identified, the control module can quickly trigger the adaptive voltage regulation unit to stabilize the power supply voltage and ensure the normal operation of the airborne integrated regulator. This precise determination and timely response avoids damage to airborne equipment caused by power supply fluctuations, improving equipment reliability and stability. For signal distortion interference, the determination is based on the signal-to-noise ratio and total harmonic distortion, providing a scientific standard for identifying signal quality problems. When signal distortion interference is detected, the control module can adjust the signal processing strategy in a timely manner, such as enhancing signal amplification and optimizing signal modulation, to improve signal quality and ensure accurate signal transmission and processing.

[0032] In some embodiments of this application, the dynamic adjustment parameters are determined by calling the corresponding adjustment algorithm according to the dominant interference data type, including: if the dominant interference data type is electromagnetic interference: when the electromagnetic interference is at a low interference level, the filter unit can be configured to use a first-order RC low-pass filter with a cutoff frequency set to 1.2 times the interference frequency; when the electromagnetic interference is at a medium interference level, a second-order Butterworth band-stop filter is used with a center frequency consistent with the interference frequency and a stopband attenuation set to 40dB; when the electromagnetic interference is at a high interference level, an electromagnetic shielding drive circuit is superimposed, and the stopband attenuation of the filter unit is increased to 60dB. If the dominant interference type is power supply fluctuation interference: when the deviation value is ≤ ±1V and the rate of change is ≤ 0.5V / ms, the adaptive voltage regulator unit adopts proportional regulation with a proportional coefficient Kp = 0.8; when the deviation value is > ±1V or the rate of change is > 0.5V / ms, proportional-integral-derivative regulation is adopted with Kp = 1.2, integral coefficient Ki = 0.5, and derivative coefficient Kd = 0.1. At the same time, the voltage compensation circuit is activated, and the compensation amount is 1.1 times the deviation value. If the dominant type of interference is signal distortion interference: if the signal attenuates, increase the gain of the preamplifier of the signal acquisition module to N times the original gain, where N = 30 / signal-to-noise ratio; if harmonic interference occurs, the filter unit can be configured to use high-pass filtering, with the cutoff frequency set to 0.1 times the fundamental frequency, while reducing the sampling frequency of the signal acquisition module to 0.8 times the original frequency. If the dominant interference type is composite interference: use a weighted allocation algorithm, with electromagnetic interference weight 0.4, power supply fluctuation interference weight 0.3, and signal distortion interference weight 0.3.

[0033] Understandably, this method of determining dynamic adjustment parameters by calling the corresponding adjustment algorithm based on the dominant interference type enhances the flexibility and specificity of the airborne integrated controller's anti-interference adjustment. For different types and levels of interference, specially designed adjustment algorithms enable the system to respond optimally to various interference situations.

[0034] When facing electromagnetic interference, different filtering methods and parameters are configured according to different interference levels. This ensures both simplicity and efficiency in adjusting at low interference levels, while providing strong anti-interference capabilities at high interference levels. First-order RC low-pass filters are suitable for low interference levels; their simple structure and low cost allow them to meet anti-interference requirements while reducing system resource consumption. Second-order Butterworth band-stop filters and superimposed electromagnetic shielding drive circuits provide more reliable solutions for medium to high interference levels, ensuring the stable operation of the airborne integrated controller in complex electromagnetic environments.

[0035] To address power supply fluctuations, different adjustment strategies are employed based on varying deviation values ​​and voltage change rates, enabling precise adjustments according to the severity of the fluctuations. Proportional regulation is suitable for minor fluctuations, quickly stabilizing the voltage; while proportional-integral-derivative regulation and voltage compensation circuits are used to handle more severe power supply fluctuations, ensuring a stable power supply for airborne equipment under various power supply conditions.

[0036] When dealing with signal distortion interference, different adjustment measures are taken for signal attenuation and harmonic interference, which effectively improves signal quality. Increasing the preamplifier gain can enhance the strength of the attenuated signal, while high-pass filtering and reducing the sampling frequency can reduce the impact of harmonic interference, ensuring that the signal can be transmitted and processed accurately.

[0037] When encountering complex interference, the application of a weighted allocation algorithm enables the system to comprehensively consider the influence of various interference factors and rationally allocate adjustment resources. By assigning different weights to different types of interference, the system can dynamically adjust according to the actual situation of the interference, thereby improving the overall anti-interference capability of the system in complex interference environments.

[0038] This flexible and targeted adjustment method not only improves the anti-interference performance of the airborne integrated controller but also reduces system power consumption and cost. At the same time, it enables the system to better adapt to different flight environments and mission requirements, providing a solid guarantee for the safe and stable operation of aviation equipment.

[0039] In some embodiments of this application, the adjustment actions of the dynamic adjustment module include: the configurable filter unit switching the filter type, adjusting the cutoff frequency and attenuation; the adaptive voltage regulation unit switching the adjustment mode, adjusting the coefficient and compensation amount; and the coupling interference suppression unit activating the common-mode inductor and grounding protection circuit.

[0040] Understandably, these adjustments by the dynamic adjustment module enhance the comprehensiveness and effectiveness of the airborne integrated controller in terms of anti-interference. The configurable filtering unit can flexibly switch filter types and adjust cutoff frequencies and attenuation levels according to different interference conditions, enabling it to accurately filter interference with various frequency characteristics. For example, when facing complex electromagnetic interference, it can adjust filter parameters in a timely manner based on the frequency distribution of the interference, effectively blocking the interference signal outside the system and ensuring signal purity.

[0041] The adaptive voltage regulator unit can quickly respond to power supply fluctuations by switching regulation modes, adjusting coefficients, and setting compensation values. When minor power supply fluctuations occur, it can quickly stabilize the voltage using proportional regulation; while when fluctuations are more severe, it promptly switches to proportional-integral-derivative regulation mode and works in conjunction with voltage compensation circuitry to ensure a stable and accurate power supply for airborne equipment. This adaptive regulation mechanism enables the airborne integrated regulator to operate reliably even in unstable power supply environments.

[0042] The coupling interference suppression unit activates the common-mode inductor and grounding protection circuit, effectively suppressing coupled interference. The common-mode inductor generates a large inductive reactance to common-mode interference signals, thus blocking them and reducing the impact of interference signals on the system. The grounding protection circuit conducts excess charge to the ground, preventing charge accumulation from damaging the equipment. The combined use of these two components provides an additional protective barrier for the airborne integrated controller, improving the system's anti-interference capability in complex electromagnetic environments.

[0043] In some embodiments of this application, the preset indicators are signal-to-noise ratio ≥40dB, total harmonic distortion ≤2%, and deviation value ≤±0.2V.

[0044] In some embodiments of this application, the preset adjustment modes corresponding to the flight test phase include: takeoff phase: adopting the "strong anti-interference + rapid voltage stabilization" mode; cruise phase: adopting the "energy saving + precise adjustment" mode; landing phase: adopting the "signal priority + stable power supply" mode.

[0045] Specifically, in the adaptive adjustment mode, the modes corresponding to the takeoff, cruise, and landing phases are determined based on the differences in interference characteristics and the priority of equipment functional requirements at each stage of the flight test, as follows: 1. Takeoff Phase: Basis for Determining the "Strong Anti-interference + Rapid Voltage Stabilization" Mode The takeoff phase is a critical stage for the aircraft's power system (such as the engine) to start up and for the load to change drastically. It has two main characteristics of interference: severe electromagnetic interference: when the engine starts up, the intensity of electromagnetic radiation increases sharply (easily reaching 80-100 dBμV / m, which is a high level of interference), and the airborne equipment (such as navigation radar) starts up simultaneously. The superposition of multiple electromagnetic signals significantly interferes with the signal acquisition module; frequent power supply fluctuations: the test equipment is powered on in batches along with the aircraft system. The load of the power supply module switches rapidly from no load to full load (the current jumps from 0A to 5A), which can cause the output voltage deviation to exceed ±1V and the rate of change to exceed 0.5V / ms, which is a serious power supply fluctuation interference.

[0046] At the same time, this stage requires ensuring that the test equipment can be powered on quickly and run stably to avoid the loss of test data due to unstable power supply or signal distortion. Therefore, "strong anti-interference" and "fast voltage regulation" are the priority requirements, and this mode is determined accordingly.

[0047] 2. Cruise Phase: Basis for Determining the "Energy Saving + Precise Adjustment" Mode During the cruise phase, the aircraft is in a constant-speed flight state, the system operates stably, and the interference characteristics are "low fluctuation and low intensity": electromagnetic interference is stable: the engine runs smoothly, the electromagnetic radiation intensity is maintained at 30-50dBμV / m (low interference level), there are no sudden strong electromagnetic signals, and the signal acquisition module is not affected by interference; power supply load is stable: all test equipment is operating normally, the power supply module load remains constant (current is stable at 2-3A), the voltage deviation is usually ≤±0.3V, the rate of change is ≤0.1V / ms, and the power supply fluctuation interference is weak.

[0048] This stage does not require high-intensity anti-interference and rapid voltage stabilization. Instead, it is necessary to balance equipment endurance (flight tests often last for several hours, and energy saving can extend the equipment's working time) and data accuracy (the cruise phase is the main stage for test data acquisition, and it is necessary to accurately control signal distortion and power supply deviation). Therefore, the "energy saving + precise adjustment" mode was determined.

[0049] 3. Landing Phase: Basis for Determining the "Signal Priority + Stable Power Supply" Mode During the landing phase, the aircraft needs to complete altitude reduction and speed adjustment, and the priority of equipment functional requirements shifts: Signal acquisition requirements increase: This phase requires the acquisition of key test signals from the aircraft's takeoff and landing systems (such as landing gear and braking systems). These signals are mostly low-amplitude pulse signals (amplitude ≤ 1V), requiring extremely high signal-to-noise ratios (SNR ≥ 45dB is required to ensure effective signal identification). Signal quality has a higher priority than other requirements; Power supply interference is moderate: Some non-core test equipment (such as auxiliary sensors) lose power, and the power supply load decreases slightly (current drops from 3A to 2A), but the fluctuation amplitude is small (voltage deviation ≤ ±0.5V, rate of change ≤ 0.3V / ms), which is considered moderate power supply interference. It is only necessary to maintain stability, and there is no need to increase the voltage regulation speed.

[0050] Based on the requirements of "prioritizing signal acquisition" and "ensuring stable power supply", this mode was determined.

[0051] Specific adjustment methods for each stage mode: 1. Takeoff Phase: Adjustment Details of "Strong Anti-interference + Rapid Voltage Stabilization" Mode To address the requirements of "strong anti-interference" and "fast voltage regulation," the adjustment focuses on "enhancing interference suppression" and "accelerating voltage regulation response," specifically as follows: Anti-interference adjustment: Configurable filter unit: Adopts a combination of "second-order Butterworth band-stop filter + electromagnetic shielding drive circuit," increasing the stopband attenuation by 10% from 60dB in the conventional high-interference mode to 66dB, while reducing the filter circuit bandwidth by 20% (from 1MHz to 800kHz), further enhancing the suppression of narrowband strong electromagnetic signals; Coupling interference suppression unit: An additional two-stage common-mode inductor is activated (compared to a single stage in the conventional mode), increasing the common-mode rejection ratio (CMRR) to 80dB, eliminating coupling interference from power supply fluctuations to the signal acquisition circuit. Voltage regulation: Adaptive voltage regulation unit: Forces the use of PID regulation mode (does not enter P regulation), and optimizes the PID parameters to Kp=1.4 (Kp=1.2 in normal high fluctuation mode), Ki=0.6 (Ki=0.5 in normal mode), Kd=0.12 (Kd=0.1 in normal mode). At the same time, the compensation amount of the voltage compensation circuit is increased from 1.1 times the deviation value to 1.2 times, which shortens the voltage regulation response time by 20% from the normal 1ms to 0.8ms, and quickly suppresses voltage fluctuations.

[0052] 2. Cruise Phase: Adjustment Details of "Energy Saving + Precise Adjustment" Mode Energy-saving adjustment: Configurable filter unit: shuts down the electromagnetic shielding drive circuit (which accounts for 40% of the total power consumption of the filter unit) and reduces the operating voltage of the filter circuit from 5V to 3.3V, thereby reducing the overall power consumption of the filter circuit by 15%; Adaptive voltage regulation unit: adopts the "P regulation + intermittent compensation" mode. When the voltage deviation is ≤±0.3V, the compensation circuit is shut down (only P regulation maintains stability), reducing the switching loss of the compensation circuit and reducing the total power consumption of the power supply module by 10%.

[0053] Precise Adjustment: Signal Acquisition Module: The preamplifier gain accuracy is optimized from ±1dB to ±0.5dB, and the ADC sampling rate is stabilized at 1kHz (normally fluctuating between 800-1200Hz), ensuring the consistency of signal sampling; Adaptive Voltage Regulation Unit: The sampling frequency of the voltage detection unit is increased from 1kHz to 2kHz, while the voltage regulation parameter accuracy is optimized from the normal ±0.2V to ±0.1V, avoiding the impact of small fluctuations in power supply voltage on high-precision test equipment (such as oscilloscopes).

[0054] 3. Landing Phase: Details on Adjusting the "Signal Priority + Stable Power Supply" Mode Signal Priority Adjustment: Signal Acquisition Module: Increases the preamplifier gain to 1.2 times the original gain (e.g., from 20dB to 24dB), and expands the quantization bits of the ADC chip from 16 bits to 20 bits (achieved through FPGA interpolation algorithm) to ensure that the signal-to-noise ratio of low-amplitude pulse signals is ≥45dB; Configurable Filtering Unit: Employs a dual-filter combination of "high-pass filter + low-pass filter", reducing the high-pass filter cutoff frequency from 0.1 times the fundamental frequency to 0.08 times (e.g., from 10Hz to 8Hz if the fundamental frequency is 100Hz), further filtering out low-frequency harmonic interference, so that the total harmonic distortion (THD) of the signal is ≤1.5% (normally ≤2%).

[0055] Stable power supply regulation: Maintain the power supply regulation parameters during the cruise phase (P regulation + intermittent compensation, voltage regulation accuracy ±0.1V), without additional adjustment of PID parameters or compensation amount, and only monitor voltage changes in real time through the voltage detection unit. The compensation circuit is activated only when the deviation exceeds ±0.5V to balance power supply stability and power consumption.

[0056] Understandably, setting preset adjustment modes for different flight phases greatly improves the applicability and effectiveness of the airborne integrated regulator throughout the flight. During takeoff, a "strong anti-interference + rapid voltage stabilization" mode is employed. The electromagnetic environment around the aircraft is complex during takeoff, with various electronic devices generating numerous interference signals upon startup, and significant power fluctuations due to large engine power variations. In this mode, the configurable filtering unit enhances the filtering of interference signals, quickly switching to a filtering type capable of handling high-frequency, high-intensity interference, and increasing the cutoff frequency and attenuation. The adaptive voltage stabilization unit responds to power fluctuations at the fastest speed, ensuring a stable power supply to airborne equipment by adjusting coefficients and compensation amounts. This guarantees the normal operation of critical equipment during takeoff and lays the foundation for safe takeoff.

[0057] During the cruise phase, an "energy-saving + precise adjustment" mode is adopted. In cruise mode, the aircraft's flight environment is relatively stable, with relatively small electromagnetic interference and power supply fluctuations. At this time, the filtering unit can be configured to appropriately reduce the filtering intensity, minimizing unnecessary energy consumption; the adaptive voltage regulation unit focuses on precise adjustment, controlling voltage deviation within a very small range to meet the power accuracy requirements of the airborne equipment. This mode reduces the energy consumption of the airborne integrated regulator while ensuring the precise operation of the equipment, thus improving the overall energy efficiency of the aircraft.

[0058] During the landing phase, a "signal priority + stable power supply" mode is employed. During landing, the aircraft needs to accurately receive and process various signals, such as navigation signals and landing guidance signals, requiring extremely high signal quality. In this mode, the configurable filtering unit prioritizes signal purity, filtering out interference signals to ensure clarity and accuracy; the adaptive voltage regulation unit further stabilizes the power supply, preventing power fluctuations from affecting the normal operation of the signal processing equipment. This mode ensures accurate signal transmission and processing during landing, providing a reliable guarantee for a safe landing.

[0059] The reasonable setting of preset adjustment modes for different flight phases enables the airborne integrated controller to dynamically adjust its working mode according to the actual situation during flight. While improving anti-interference capabilities, it achieves multiple goals of energy saving, precision and stability, further enhancing the safety and reliability of airborne equipment throughout the flight process and providing a solid technical guarantee for the smooth operation of aviation flights.

[0060] In some embodiments of this application, the matching degree is determined by calculating the Euclidean distance between the interference signal data and the preset adjustment mode. If the Euclidean distance is ≤0.2 and the matching degree is ≥85%, the current mode is maintained; otherwise, a mode switch is triggered.

[0061] Understandably, determining the matching degree by calculating the Euclidean distance between the interference signal data and the preset adjustment mode, and setting clear thresholds for mode switching rules, enables the airborne integrated controller to achieve intelligent and automated mode adjustment. During flight, interference signals are dynamic and may suddenly increase or decrease. When the Euclidean distance between the interference signal data and the preset adjustment mode is ≤0.2 and the matching degree is ≥85%, it indicates that the current preset adjustment mode can effectively cope with the current interference signal situation. Maintaining the current mode can avoid unnecessary mode switching, reduce system instability, and also reduce the additional energy consumption caused by frequent mode switching.

[0062] When the Euclidean distance is greater than 0.2 or the matching degree is less than 85%, it means that the current preset adjustment mode may not be able to effectively cope with the current interference signal. In this case, triggering mode switching becomes particularly important. The system will quickly select a more suitable mode from the preset adjustment modes based on the characteristics of the current interference signal to better adapt to the new interference environment. For example, during the cruise phase, if a strong electromagnetic interference is suddenly encountered, making the current "energy saving + precise adjustment" mode insufficient, the system can quickly switch to a more interference-resistant mode, such as the "strong anti-interference + fast voltage stabilization" mode, through this mode switching mechanism, thereby ensuring the normal operation of the airborne equipment.

[0063] To further illustrate this application, the method of this application is illustrated below: I. Preparations before implementation (I) Hardware Module Selection and Setup Based on the functional requirements of the airborne integrated controller, the hardware selection for each core module must meet aerospace-grade reliability standards (such as complying with DO-160G environmental testing requirements). The specific selection and setup are as follows: Signal acquisition module: The AD7606-8 16-bit 8-channel synchronous sampling ADC from ADI is selected, with a maximum sampling rate of 200kSPS. It supports ±10V / ±5V analog input and is adapted to the multi-parameter acquisition requirements of the airborne integrated controller. The preamplifier is the INA128 from TI, with an adjustable gain range of 1-1000 times, which meets the gain compensation requirements when the signal attenuates.

[0064] Power supply module: It adopts the DC-DC power supply module of XP Power, with an input voltage range of 9-36V (compatible with the onboard 14V / 28V power supply system), a stable output voltage of 5V / 12V, and an output ripple of ≤10mV; it is also equipped with the VDR-M series voltage surge suppressor of TDK to suppress voltage surges during engine start-up.

[0065] Interference detection module: Electromagnetic interference sensor: The EMI probe from EMC Test Systems is selected, which can detect the electromagnetic radiation intensity in the 10kHz-1GHz frequency band, with a measurement range of 0-120dBμV / m and a data output interface of RS485. Voltage fluctuation detector: The AD8210 current shunt monitoring amplifier from ADI is used, along with a 12-bit ADC of the STM32H743 microcontroller, to collect the actual value of the supply voltage in real time, calculate the deviation value (actual value - rated value) and the voltage change rate (ΔV / Δt), and the sampling interval is set to 10μs; Signal Distortion Analyzer: Based on the THS3201 high-speed operational amplifier from TI, a signal conditioning circuit is built. Combined with the FFT algorithm (implemented through the hardware FFT module of STM32H743), the signal signal-to-noise ratio (SNR) and total harmonic distortion (THD) are calculated with a measurement error ≤0.5%.

[0066] Control module: The STM32H743ZI microcontroller is selected, with a main frequency of up to 480MHz. It has a floating-point unit (FPU) and a hardware FFT module, which can quickly execute interference classification, adjustment algorithms and iterative optimization logic; at the same time, it integrates a CAN bus interface for communication with other control units of the airborne integrated controller.

[0067] Dynamic adjustment module: Configurable filter unit: It adopts Analog Devices' AD8421 programmable gain instrumentation amplifier, paired with TI's OPA847 high-speed operational amplifier. The filter type (low-pass / band-stop / high-pass) is switched by an analog switch (ADG1419) controlled by the GPIO port of STM32H743. The cutoff frequency and attenuation are adjusted by a digital potentiometer (MCP4131). Adaptive voltage regulation unit: Based on TI's TPS7A4700 low dropout regulator (LDO), it uses the PWM output of STM32H743 to control the feedback resistor network to achieve proportional (P) / proportional-integral-derivative (PID) regulation; the voltage compensation circuit uses MAXIM's MAX6191 reference voltage source, and the compensation amount is controlled by the output of DAC (AD5686). Coupling interference suppression unit: integrates TDK's common mode inductor ACM2012-900-2P to suppress common mode interference conducted by cables; the grounding protection circuit uses TEConnectivity's gas discharge tube GDT900 with a breakdown voltage of 250V to prevent electrostatic discharge (ESD) interference.

[0068] (II) Software Environment Setup Development tools: Keil MDK-ARM V5 development environment is used, and STM32CubeMX is used to generate initialization code, supporting C language programming and hardware peripheral configuration; Algorithm library integration: Interference classification model: Based on the Support Vector Machine (SVM) algorithm, implemented using the LIBSVM open-source library. The training dataset consists of interference signal data (including electromagnetic radiation intensity, voltage deviation, signal-to-noise ratio, and other features) from 1000 flight tests of a certain type of passenger aircraft. The SVM kernel function (RBF kernel) and penalty parameters are optimized through cross-validation to ensure a classification accuracy of ≥95%. Gradient Descent Algorithm: Implement a custom batch gradient descent (BGD) algorithm with a learning rate of 0.01. The iteration termination condition is that the signal quality indicators (SNR≥40dB, THD≤2%, voltage deviation≤±0.2V) are met for 3 consecutive times or the number of iterations reaches 100. Euclidean distance calculation: Based on the Euclidean distance calculation formula, the Euclidean distance is obtained, and the matching degree is quickly calculated through the floating-point unit of STM32.

[0069] II. Specific Implementation Steps (I) Step 1: Interference signal data acquisition After the system is powered on, the control module initializes the sensors of the interference detection module via the I2C bus: Electromagnetic interference sensor: The sampling frequency is set to 1kHz to collect electromagnetic radiation intensity (unit: dBμV / m) and interference frequency (unit: MHz). The data is transmitted to the control module through the RS485 interface and updated once every 100ms. Voltage fluctuation detector: AD8210 monitors the actual supply voltage (unit: V), and the STM32H743 ADC samples once every 10μs to calculate the voltage deviation (actual value - rated value 5V / 12V) and voltage change rate (ΔV / Δt, unit: V / ms). Signal Distortion Analyzer: Performs FFT analysis on the analog signal output by the signal acquisition module (sampling points: 1024), calculates the signal-to-noise ratio (SNR, unit: dB) and total harmonic distortion (THD, unit: %), and outputs the results every 50ms.

[0070] The control module stores the collected electromagnetic interference data, power supply interference data, and signal interference data in the on-chip Flash (1MB capacity) and uploads them to the airborne display terminal via the CAN bus for real-time monitoring.

[0071] (II) Step 2: Classification of Interference Signals and Determination of Dominant Interference Type The control module reads the interference signal data (10 sets of electromagnetic interference data, 100,000 sets of power supply interference data, and 20 sets of signal interference data) from the Flash memory within the last second, and takes the average value as the current interference feature vector (with 5 dimensions: electromagnetic radiation intensity, interference frequency, voltage deviation value, voltage change rate, signal-to-noise ratio, and THD). The feature vector is input into a pre-trained SVM interference classification model, which outputs an interference type prediction result. The dominant interference type is determined by combining the following judgment rules: Electromagnetic interference level: If the electromagnetic radiation intensity is ≤50dBμV / m, it is judged as low interference level; 50dBμV / m < electromagnetic radiation intensity <80dBμV / m, it is judged as medium interference level; ≥80dBμV / m, it is judged as high interference level. Power supply fluctuation interference: If the voltage deviation is ≥ ±0.5V or the voltage change rate is ≥ 0.2V / ms, it is judged as power supply fluctuation interference; Signal distortion interference: If the signal-to-noise ratio is ≤30dB or the THD is ≥5%, it is judged as signal distortion interference; Composite interference: If the above two or more interference criteria are met simultaneously, it is determined to be the dominant interference type, which is composite interference.

[0072] The judgment result is displayed by LED indicator lights (e.g., red light indicates electromagnetic interference, green light indicates power supply fluctuation interference, yellow light indicates signal distortion interference, and three-color light flashing indicates composite interference).

[0073] (III) Step 3: Determination of dynamic adjustment parameters and signal conditioning Based on the dominant interference type, the control module invokes the corresponding adjustment algorithm and sends control commands to the dynamic adjustment module via the SPI / I2C bus. The dominant type of interference is electromagnetic interference. Low interference level: The analog switch of the control configurable filter unit is switched to a first-order RC low-pass filter circuit, and the digital potentiometer is used to adjust the cutoff frequency to 1.2 times the interference frequency (e.g., if the interference frequency is 100kHz, the cutoff frequency is set to 120kHz). Interference level: Switch to second-order Butterworth band-stop filter circuit, with center frequency consistent with interference frequency (e.g., if interference frequency is 500kHz, center frequency is set to 500kHz), and stopband attenuation is adjusted to 40dB via DAC. High interference level: In addition to band-stop filtering adjustment, the GPIO port is controlled to start the electromagnetic shielding drive circuit (outputting a 5V drive voltage), while the stopband attenuation is increased to 60dB.

[0074] The dominant interference type is power supply fluctuation interference: If the voltage deviation is ≤ ±1V and the rate of change is ≤ 0.5V / ms: the adaptive voltage regulator unit adopts proportional regulation, which is achieved by controlling the feedback resistor network through PWM, and the proportional coefficient Kp = 0.8 is set. If the voltage deviation is greater than ±1V or the rate of change is greater than 0.5V / ms: switch to PID control mode, Kp=1.2, Ki=0.5, Kd=0.1 (integral and derivative operations are performed through software algorithm), and start the voltage compensation circuit at the same time. The DAC output compensation is 1.1 times the deviation value (e.g., if the deviation value is +2V, the compensation is set to +2.2V).

[0075] The dominant type of interference is signal distortion interference: Signal attenuation (signal-to-noise ratio ≤ 30dB and THD < 5%): Control the preamplifier INA128 of the signal acquisition module to increase the gain to N times the original gain (N = 30 / signal-to-noise ratio, such as N = 1.5 if the signal-to-noise ratio is 20dB). Harmonic interference (THD≥5% and signal-to-noise ratio>30dB): The filter unit can be configured to switch to a high-pass filter circuit, with the cutoff frequency set to 0.1 times the fundamental frequency (e.g., if the fundamental frequency is 50Hz, the cutoff frequency is set to 5Hz), while reducing the ADC sampling rate of the signal acquisition module to 0.8 times the original frequency (e.g., if the original sampling rate is 200kSPS, it is reduced to 160kSPS).

[0076] The dominant interference type is composite interference: A weighted allocation algorithm is adopted (electromagnetic interference weight 0.4, power supply fluctuation interference weight 0.3, signal distortion interference weight 0.3) to calculate the adjustment parameters corresponding to each interference. Then, the final parameters are obtained by weighted fusion (e.g., the filter cutoff frequency corresponding to electromagnetic interference is 120kHz, Kp=0.8 corresponding to power supply fluctuation, and the gain corresponding to signal distortion is 1.5, then the final cutoff frequency = 120kHz×0.4, Kp=0.8×0.3, gain = 1.5×0.3, and then the basic adjustment amount is added). Simultaneously, the common-mode inductor and grounding protection circuit of the coupling interference suppression unit are activated to enhance the ability to resist composite interference.

[0077] (iv) Step 4: Adjust parameters and iteratively optimize After the dynamic adjustment module performs the adjustment action, the signal acquisition module collects the adjusted signal data (such as engine speed signal and fuel pressure signal) and transmits it to the control module through the ADC. The control module calculates the adjusted signal quality indicators: signal-to-noise ratio (SNR), total harmonic distortion (THD), and voltage deviation. If the signal quality meets the preset parameters (SNR≥40dB, THD≤2%, voltage deviation≤±0.2V), the current adjustment parameters are maintained; otherwise, the gradient descent algorithm is initiated for iterative optimization. Using the deviation of SNR, THD, and voltage deviation (actual value - target value) as the loss function, the partial derivatives of the adjustment parameters (such as filter cutoff frequency, PID coefficients, and gain) are calculated. Update the parameters according to the formula θ=θ-α×∇J(θ) (where θ is the adjustment parameter, α is the learning rate of 0.01, and ∇J(θ) is the gradient of the loss function), and re-collect the signal quality index after each iteration; Repeat the iteration until the signal quality meets the preset index or the iteration termination condition is reached. Then, store the optimized parameters in EEPROM as the initial parameters for the next adjustment.

[0078] (v) Step 5: Switching between flight phase adjustment modes The control module receives flight phase signals (takeoff / cruise / landing) from the onboard flight management system (FMS) via the CAN bus and presets the characteristic thresholds of the adjustment mode for each phase. Takeoff phase ("strong anti-interference + fast voltage stabilization mode"): electromagnetic radiation intensity threshold 80dBμV / m, voltage deviation threshold ±1V, response time threshold 50ms; Cruise phase ("Energy Saving + Precise Adjustment" mode): Electromagnetic radiation intensity threshold 50dBμV / m, voltage deviation threshold ±0.5V, power consumption threshold 1W; Landing phase ("Signal priority + stable power supply" mode): Signal-to-noise ratio threshold 35dB, voltage deviation threshold ±0.8V, sampling rate threshold 160kSPS.

[0079] Calculate the Euclidean distance between the interference signal data and the current mode feature threshold in real time. If the distance is ≤0.2 and the matching degree is ≥85% (matching degree = (1 - distance / maximum distance) × 100%, with the maximum distance set to 1), then maintain the current mode; otherwise, trigger mode switching. When switching modes, the control module first shuts down the redundant circuits of the current mode (such as turning on the electromagnetic shielding drive circuit when switching from the cruise phase to the takeoff phase), and then loads the adjustment parameters of the new mode. The switching response time is ≤100ms. The switching results are fed back to the FMS via the CAN bus to ensure that the airborne systems work together.

[0080] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program goods. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program goods embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0081] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program goods according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0082] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0083] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0084] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for dynamic adjustment of anti-interference signals for an airborne integrated controller, characterized in that, The method is applied to an airborne integrated controller, which includes a signal acquisition module, a power supply module, an interference detection module, a control module, and a dynamic adjustment module. Acquire interference signal data from the airborne integrated controller, the interference signal data including electromagnetic interference data, power supply interference data and signal interference data; The interference signal data is classified based on a preset interference classification model to determine the corresponding dominant interference data type, and the corresponding adjustment algorithm is called according to the dominant interference data type to determine the dynamic adjustment parameters. The signal data of the airborne integrated controller is adjusted according to the dynamic adjustment parameters, and the signal quality corresponding to the adjusted signal data is determined. Based on the signal quality, the dynamic adjustment parameters are iteratively optimized using a gradient descent algorithm until the signal quality meets the preset index. During the flight test phase, an adjustment mode is preset based on the interference characteristics of the flight test phase, and the adjustment mode is automatically switched according to the matching degree between the interference signal data and the adjustment mode.

2. The method for dynamic adjustment of anti-interference signals for airborne integrated controllers according to claim 1, characterized in that, The signal acquisition module is used to acquire signal data from the airborne integrated controller. The power supply module is used to provide power to external testing equipment; The interference detection module includes an electromagnetic interference sensor, a voltage fluctuation detector, and a signal distortion analyzer; the control module is used to receive data from the interference detection module, execute a dynamic adjustment algorithm, and output control commands; the dynamic adjustment module includes a configurable filtering unit, an adaptive voltage regulation unit, and a coupling interference suppression unit.

3. The method for dynamic adjustment of anti-interference signals for airborne integrated controllers according to claim 2, characterized in that, The electromagnetic interference data is acquired through an electromagnetic interference sensor; the electromagnetic interference data includes: electromagnetic radiation intensity and frequency. The power supply interference data is obtained through a voltage fluctuation detector. The power supply interference data includes the deviation between the actual voltage value and the rated voltage value of the airborne integrated regulator and the voltage change rate. The signal interference data is obtained through a signal distortion analyzer, and the signal interference data includes the signal-to-noise ratio and total harmonic distortion of the signal data.

4. The method for dynamic adjustment of anti-interference signals for airborne integrated controllers according to claim 3, characterized in that, When classifying the interference signal data based on a preset interference classification model and determining the corresponding dominant interference data type, the interference classification model is trained using a support vector machine algorithm, and the training dataset contains interference signal data from flight tests. The dominant types of interference include electromagnetic interference, power supply fluctuation interference, signal distortion interference, and composite interference.

5. The method for dynamic adjustment of anti-interference signals for airborne integrated controllers according to claim 4, characterized in that, The method for determining the dominant interference data type is as follows: Electromagnetic interference is classified according to the intensity of electromagnetic radiation. If the intensity of electromagnetic radiation is ≤50dBμV / m, the electromagnetic interference is determined to be of the low interference level; if 50dBμV / m < intensity of electromagnetic radiation < 80dBμV / m, the electromagnetic interference is determined to be of the medium interference level; if the intensity of electromagnetic radiation is ≥80dBμV / m, the electromagnetic interference is determined to be of the high interference level. Power supply fluctuation interference is determined based on the deviation value and voltage change rate. When the deviation value is ≥ ±0.5V or the change rate is ≥ 0.2V / ms, it is determined to be power supply fluctuation interference. Signal distortion interference is determined based on the signal-to-noise ratio and total harmonic distortion. When the signal-to-noise ratio is ≤30dB or the total harmonic distortion is ≥5%, it is determined to be signal distortion interference.

6. The method for dynamic adjustment of anti-interference signals for airborne integrated controllers according to claim 5, characterized in that, Based on the dominant interference data type, the corresponding adjustment algorithm is invoked to determine the dynamic adjustment parameters, including: If the dominant interference data type is electromagnetic interference: When the electromagnetic interference is at a low level, the filter unit can be configured to use a first-order RC low-pass filter, with the cutoff frequency set to 1.2 times the interference frequency. When the electromagnetic interference is of medium level, a second-order Butterworth band-stop filter is used, with the center frequency matching the interference frequency and the stopband attenuation set to 40dB. When the electromagnetic interference is at a high level, an electromagnetic shielding drive circuit is superimposed, and the stopband attenuation of the filter unit is increased to 60dB. If the dominant interference data type is power supply fluctuation interference: When the deviation value is ≤ ±1V and the rate of change is ≤ 0.5V / ms, the adaptive voltage regulator unit adopts proportional regulation with a proportional coefficient Kp = 0.

8. When the deviation value is greater than ±1V or the rate of change is greater than 0.5V / ms, proportional-integral-derivative regulation is adopted, with Kp=1.2, integral coefficient Ki=0.5, and derivative coefficient Kd=0.

1. At the same time, the voltage compensation circuit is activated, and the compensation amount is 1.1 times the deviation value. If the dominant interference data type is signal distortion interference: If the signal attenuates, increase the gain of the preamplifier of the signal acquisition module to N times the original gain, where N = 30 / signal-to-noise ratio; If harmonic interference occurs, the filtering unit can be configured to use high-pass filtering, with the cutoff frequency set to 0.1 times the fundamental frequency, while the sampling frequency of the signal acquisition module is reduced to 0.8 times the original frequency. If the dominant interference data type is composite interference: A weighted allocation algorithm is adopted, with electromagnetic interference weight of 0.4, power supply fluctuation interference weight of 0.3, and signal distortion interference weight of 0.

3.

7. The method for dynamic adjustment of anti-interference signals for an airborne integrated controller according to claim 6, characterized in that, The adjustment actions of the dynamic adjustment module include: configurable filter unit switching filter type, adjusting cutoff frequency and attenuation; The adaptive voltage regulator unit switches between adjustment modes, adjustment coefficients, and compensation amounts; The coupling interference suppression unit activates the common-mode inductor and grounding protection circuit.

8. The method for dynamic adjustment of anti-interference signals for airborne integrated controllers according to claim 7, characterized in that, The preset indicators are a signal-to-noise ratio ≥ 40dB, total harmonic distortion ≤ 2%, and a deviation value ≤ ±0.2V.

9. The method for dynamic adjustment of anti-interference signals for an airborne integrated controller according to claim 8, characterized in that, The preset adjustment modes corresponding to the flight test phase include: Takeoff phase: Employs a "strong anti-interference + rapid voltage stabilization" mode; Cruise phase: Employs an "energy-saving + precise adjustment" mode; Landing phase: "Signal priority + stable power supply" mode is adopted.

10. The method for dynamic adjustment of anti-interference signals for an airborne integrated controller according to claim 9, characterized in that, The matching degree is determined by calculating the Euclidean distance between the interference signal data and the preset adjustment mode. If the Euclidean distance is ≤0.2 and the matching degree is ≥85%, the current mode is maintained; otherwise, a mode switch is triggered.

Images