Intelligent Micro Turbine Power Generation Control System Adapted to Different Flight Altitudes

Abstract

The present invention relates to the technical field of micro-turbine power generation, and particularly to an intelligent micro-turbine power generation control system adapted to different flight altitudes, including a flight environment monitoring module, a vibration compensation and stability enhancement module, an aging and power generation efficiency decay compensation module, and a power management module. Among them, the flight environment monitoring module monitors the flight state of the aircraft in real time; the vibration compensation and stability enhancement module automatically adjusts the working state of the generator through a vibration compensation algorithm; the aging and power generation efficiency decay compensation module predicts the aging state of the turbine power generation system and dynamically adjusts the power output through an aging compensation algorithm; the power management module adjusts the power distribution plan in real time according to the device priority and task requirements. The present invention effectively reduces the influence of vibration and aging effects on the system efficiency and prolongs the service life of the power generation equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of micro-turbine power generation, and particularly to an intelligent micro-turbine power generation control system adapted to different flight altitudes. Background Art

[0002] With the wide application of unmanned aerial vehicles and low-altitude aircraft in fields such as logistics, agriculture, and surveying, the continuous power supply demand of aircraft at different altitudes and in complex environments has become crucial. Micro-turbine power generation systems have become common power supply devices for aircraft due to their light weight, high energy density, and strong adaptability. However, the working environment of aircraft is complex and changeable, and changes in temperature, vibration, load, and flight altitude will all affect the operation efficiency and stability of the turbine power generation system. Therefore, designing an intelligent micro-turbine power generation control system that can adapt to different flight altitudes and dynamically adjust power output is of great significance for improving the energy utilization efficiency and mission reliability of aircraft.

[0003] Existing turbine power generation systems usually rely on fixed power output modes and lack the ability to monitor and dynamically adjust multiple external environmental parameters during flight. Factors such as vibration, high temperature, and load fluctuations often cause unstable system operation, thereby shortening the service life of the equipment. In addition, most of the power distribution modules in the existing technology are mainly based on fixed strategies and are difficult to dynamically regulate according to mission requirements and equipment priorities, resulting in power waste or insufficient power supply for key equipment during mission execution. These technical bottlenecks limit the wide application of turbine power generation systems in complex flight environments.

[0004] The present invention aims to provide an intelligent micro-turbine power generation control system adapted to different flight altitudes to ensure that the power generation system operates efficiently and stably in complex environments such as high vibration, temperature fluctuations, and load changes. At the same time, optimize the power distribution according to equipment priorities and mission requirements, thereby enhancing the adaptability, reliability, and energy utilization efficiency of the system. Summary of the Invention

[0005] The present invention provides an intelligent micro-turbine power generation control system adapted to different flight altitudes.

[0006] The intelligent micro-turbine power generation control system adapted to different flight altitudes includes a flight environment monitoring module, a vibration compensation and stability enhancement module, an aging and power generation efficiency decay compensation module, and a power management module, wherein;

[0007] The flight environment monitoring module monitors the flight state of the aircraft in real time, including the usage time of the aircraft, environmental temperature, load change, flight altitude, and flight speed;

[0008] The vibration compensation and stability enhancement module monitors the vibration frequency and vibration intensity of the aircraft in real time, detects the vibration conditions generated during the flight of the aircraft, and automatically adjusts the working state of the generator through a vibration compensation algorithm;

[0009] The aging and power generation efficiency decay compensation module predicts the aging state of the turbo power generation system based on the monitored usage time, temperature, and load changes of the aircraft, and dynamically adjusts the power generation output through an aging compensation algorithm to compensate for the efficiency decay caused by aging. Specifically, it includes:

[0010] Usage time monitoring and aging assessment: Monitor the cumulative usage time of the turbo power generation system in real time, and evaluate the aging degree of the turbo power generation system in combination with the expected usage cycle;

[0011] Temperature monitoring and thermal decay compensation: Evaluate the thermal decay effect caused by high-temperature operation by monitoring the working temperature of the turbo power generation system in real time, and dynamically adjust the working parameters of the generator in combination with the evaluation result of the aging degree of the turbo power generation system;

[0012] Load change monitoring and load adjustment: Monitor the load changes of the turbo power generation system, analyze the impact of the load on the aging of the turbo power generation system, and further adjust the output power of the turbo power generation system on the basis of the output power adjusted by temperature monitoring and thermal decay compensation;

[0013] The power management module adjusts the power distribution plan in real time according to the device priority and task requirements based on the adjusted working state of the generator and the power generation output.

[0014] Optionally, the flight environment monitoring module includes:

[0015] Usage time record: Record the cumulative usage time of the aircraft and the turbo power generation system through a timing unit;

[0016] Temperature monitoring: Monitor the ambient temperature and the working temperature of the turbo power generation system in real time through a temperature sensor;

[0017] Load monitoring: Monitor the load changes of the turbo power generation system through a power sensor to capture the load fluctuation during the flight;

[0018] Flight altitude monitoring: Monitor the flight altitude of the aircraft in real time through a GPS unit to capture the state changes of the aircraft at different altitudes;

[0019] Flight speed monitoring: Obtain the flight speed data of the aircraft in real time through an inertial navigation system.

[0020] Optionally, the vibration compensation and stability enhancement module includes:

[0021] Vibration Detection and Analysis: Real-time monitoring of the vibration frequency and vibration intensity of the aircraft through an acceleration sensor to capture vibration data generated during flight;

[0022] Vibration Prediction: Based on the captured vibration data and combined with the current flight state, predict the future vibration trend through the aircraft vibration prediction model;

[0023] Real-time Vibration Compensation: Based on the predicted vibration trend, adjust the rotational speed and power generation of the turbogenerator in real-time.

[0024] Optionally, the vibration detection and analysis includes:

[0025] Vibration Frequency Calculation: Perform a Fast Fourier Transform (FFT) on the collected acceleration signal to convert the time-domain signal into a frequency-domain signal and extract the vibration frequency component;

[0026] Vibration Intensity Calculation: Calculate the vibration intensity based on the root mean square (RMS) value of the acceleration signal.

[0027] Optionally, the aircraft vibration prediction model uses a Gaussian process regression model, and the Gaussian process regression model includes:

[0028] Define the input feature vector: The input feature vector includes the current vibration frequency of the aircraft , vibration intensity , flight altitude and flight speed ;

[0029] Kernel Function Definition: Combine the Gaussian kernel (RBF kernel) and the periodic kernel to capture different features in the vibration data;

[0030] Calculate the prior distribution: Calculate the prior distribution through the defined kernel function;

[0031] Calculation of the predictive distribution: Given a test data point , predict the mean and variance of the prior distribution;

[0032] Vibration Trend Prediction Output: The final prediction result is a normal distribution, where the mean represents the predicted vibration trend and the variance represents the prediction uncertainty.

[0033] Optionally, the real-time vibration compensation includes:

[0034] Vibration Trend Prediction: Predict the future vibration trend through the Gaussian process regression model and output the predicted vibration frequency and vibration intensity ;

[0035] Compensation strategy generation: Based on the predicted vibration frequency and vibration intensity , adjust the rotational speed and power generation of the generator.

[0036] Optionally, the usage time monitoring and aging assessment include:

[0037] Cumulative usage time monitoring: Real-time record the operating time of the turbine power generation system through the built-in timer , and each time it runs, the timer automatically accumulates the usage duration;

[0038] Aging index calculation: Combine the expected usage cycle , and evaluate the aging degree of the turbine power generation system through the aging index ;

[0039] Aging assessment: When the aging index exceeds the preset aging threshold , enter the attenuation stage, indicating that the turbine power generation system is approaching the end of its service life and power compensation or maintenance measures are required.

[0040] Optionally, the temperature monitoring and thermal attenuation compensation include:

[0041] Temperature monitoring: Real-time collect the working temperature of the turbine power generation system through the temperature sensor ;

[0042] Thermal attenuation effect assessment: When is higher than the optimal working temperature of the turbine power generation system , a thermal attenuation effect occurs;

[0043] Adjust the working parameters in combination with the aging assessment results: Combine the aging index of the turbine power generation system , and dynamically adjust the output power of the generator.

[0044] Optionally, the load change monitoring and load adjustment include:

[0045] Load change monitoring: Real-time monitor the current load of the turbine power generation system through the power sensor ;

[0046] Analysis of the relationship between load and aging: Analyze the accelerating effect on the aging of the turbine power generation system according to the load change. When the load exceeds the rated load , the aging of the turbine power generation system accelerates;

[0047] Dynamically adjust the output power: Based on the output power adjusted by the temperature monitoring and thermal attenuation compensation, further adjust the output power of the turbine power generation system according to the load change and the aging acceleration factor.

[0048] Optionally, the power management module includes:

[0049] Device priority setting: Set the priority of each device according to the task importance and real-time task requirements of the device , where represents different devices, and the priority is jointly determined by the importance index of the device and the current task requirements ;

[0050] Power distribution calculation: Based on the adjusted power output of the generator, distribute electric energy according to the device priority and calculate the electric energy distributed to each device . .

[0051] Advantages of the present invention:

[0052] In the present invention, by using the flight environment monitoring module to monitor the operating state of the aircraft in real time, including usage time, temperature, load, flight altitude and speed, it can dynamically sense environmental changes, ensure that the system can respond in a timely manner to different flight altitudes and complex flight environments, especially under changing task requirements, optimize the operating state of the turboelectric power system, and improve the stability and adaptability of the system under complex flight conditions.

[0053] In the present invention, by combining the vibration compensation and stability enhancement module and the aging and power generation efficiency decay compensation module, it can, through real-time monitoring, prediction and compensation, slow down the negative impacts of vibration, high temperature and load fluctuations on the power generation system, ensure that the system still operates efficiently under high load and long-term operation conditions, accurately predict the vibration trend through the Gaussian process regression model, and dynamically adjust the rotation speed and power of the generator, effectively reducing the impacts of vibration and aging effects on the system efficiency and extending the service life of the power generation equipment.

[0054] In the present invention, by intelligently distributing electric energy, dynamically optimizing the power output according to the device priority and task requirements, ensuring that the device can obtain priority power supply during critical tasks, and combining various influencing factors such as vibration, temperature and load, the system can flexibly adjust the power distribution plan, avoid energy waste or system failures caused by improper power distribution, and further improve the energy utilization efficiency of the system and the reliability of task execution. Description of the Drawings

[0055] To more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only those of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0056] Figure 1 Schematic diagram of the system function modules of the embodiments of the present invention;

[0057] Figure 2 Schematic diagram of the aging and power generation efficiency decay compensation module of the embodiments of the present invention. Specific implementation manners

[0058] The following will describe the present invention in detail with reference to the drawings and specific embodiments. At the same time, it should be noted here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments. For some well-known technologies, those skilled in the art can also adopt other alternative ways for implementation; moreover, the drawings are only for more specific description of the embodiments and are not intended to specifically limit the present invention.

[0059] It should be pointed out that in the specification, when referring to "an embodiment", "embodiment", "exemplary embodiment", "some embodiments", etc., it indicates that the described embodiment may include specific features, structures or characteristics, but not necessarily every embodiment includes such specific features, structures or characteristics. In addition, when combining an embodiment to describe a specific feature, structure or characteristic, implementing such a feature, structure or characteristic in combination with other embodiments (whether explicitly described or not) should be within the knowledge scope of those skilled in the relevant art.

[0060] Generally, terms can be understood at least in part from their use in the context. For example, at least in part depending on the context, the term "one or more" used herein can be used to describe any feature, structure or characteristic in a singular sense, or can be used to describe a combination of features, structures or characteristics in a plural sense. In addition, the term "based on" can be understood as not necessarily intended to convey a set of exclusive factors, but instead, at least in part depending on the context, allowing for the existence of other factors that may not be explicitly described.

[0061] As Figure 1 - Figure 2 shown, the intelligent micro-turbine power generation control system adapted to different flight altitudes includes a flight environment monitoring module, a vibration compensation and stability enhancement module, an aging and power generation efficiency decay compensation module, and a power management module, wherein;

[0062] The flight environment monitoring module monitors the flight state of the aircraft in real time, including the usage time of the aircraft, environmental temperature, load change, flight altitude, and flight speed;

[0063] The vibration compensation and stability enhancement module monitors the vibration frequency and intensity of the aircraft in real time, detects the vibration conditions generated during the flight of the aircraft, and automatically adjusts the working state of the generator through a vibration compensation algorithm to reduce the negative impact of vibration on the power generation, ensuring the stable operation of the power generation system in a high-vibration environment;

[0064] The aging and power generation efficiency decay compensation module predicts the aging state of the turbine power generation system based on the monitored usage time, temperature, and load changes of the aircraft, and dynamically adjusts the power generation output through an aging compensation algorithm to compensate for the efficiency decay caused by aging, ensuring that the system can still maintain a high power generation efficiency after long-term use. Specifically, it includes:

[0065] Usage time monitoring and aging assessment: Monitor the cumulative usage time of the turbine power generation system in real time, and evaluate the aging degree of the turbine power generation system in combination with the expected usage cycle;

[0066] Temperature monitoring and thermal decay compensation: By monitoring the working temperature of the turbine power generation system in real time, evaluate the thermal decay effect caused by high-temperature operation, and dynamically adjust the working parameters of the generator in combination with the evaluation result of the aging degree of the turbine power generation system to slow down the performance degradation caused by high temperature;

[0067] Load change monitoring and load adjustment: Monitor the load changes of the turbine power generation system, analyze the impact of the load on the aging of the turbine power generation system, and further adjust the output power of the turbine power generation system on the basis of the output power adjusted by temperature monitoring and thermal decay compensation to ensure that the system operates within a reasonable load range and slows down the aging process;

[0068] Based on the adjusted working state of the generator and the power generation output, the power management module adjusts the power distribution plan in real time according to the equipment priority and task requirements to ensure that key equipment always obtains sufficient power supply during the flight mission and improves the power utilization efficiency;

[0069] Through the above content, it can effectively adapt to different flight altitudes and complex environmental conditions, monitor the state of the aircraft in real time and automatically adjust the operation of the power generation system, ensuring that the stability of the power generation efficiency can still be maintained under various influences such as vibration, aging, and load changes. At the same time, by optimizing the power distribution through the power management module, the system can meet the power requirements of key tasks and improve the energy utilization efficiency and mission execution reliability of the aircraft.

[0070] The flight environment monitoring module includes:

[0071] Usage time recording: Record the cumulative usage time of the aircraft and the turbine power generation system through a timing unit;

[0072] Temperature Monitoring: The ambient temperature and the operating temperature of the turbine power generation system are monitored in real time through temperature sensors;

[0073] Load Monitoring: The load changes of the turbine power generation system are monitored through a power sensor to capture the load fluctuations during flight;

[0074] Flight Altitude Monitoring: The flight altitude of the aircraft is monitored in real time through a GPS unit to capture the state changes of the aircraft at different altitudes;

[0075] Flight Speed Monitoring: The flight speed data of the aircraft is obtained in real time through an inertial navigation system;

[0076] Through the above, it is possible to provide comprehensive environmental perception capabilities by obtaining the temperature, load, flight altitude, and speed of the aircraft in real time, ensuring that the system can respond promptly to changes in the flight state, dynamically optimize the operation of the power generation system, improve the adaptability and efficiency of the system, and ensure stability and efficiency in different flight environments.

[0077] The Vibration Compensation and Stability Enhancement Module includes:

[0078] Vibration Detection and Analysis: The vibration frequency and vibration intensity of the aircraft are monitored in real time through an acceleration sensor to capture the vibration data generated during flight;

[0079] Vibration Prediction: Based on the captured vibration data and combined with the current flight state, the future vibration trend is predicted through the aircraft vibration prediction model;

[0080] Real-time Vibration Compensation: Based on the predicted vibration trend, the rotational speed and power generation of the turbine generator are adjusted in real time to reduce the impact of vibration on the power generation system;

[0081] Through the above, the vibration condition of the aircraft is monitored in real time, the future vibration trend is predicted, and the working state of the power generation system is dynamically adjusted according to the prediction result, ensuring that the generator still operates stably in a high-vibration environment, effectively reducing the negative impact of vibration on the power generation system, improving the stability and power generation efficiency of the system, especially suitable for unmanned aircraft in complex flight environments, and ensuring the continuity and reliability of flight missions.

[0082] Vibration Detection and Analysis includes:

[0083] Vibration Frequency Calculation: The collected acceleration signal is subjected to a fast Fourier transform (FFT) to convert the time-domain signal into a frequency-domain signal and extract the vibration frequency components, expressed as:

[0084] ;

[0085] Where is the frequency domain representation of the acceleration signal, is the extracted vibration frequency;

[0086] Vibration intensity calculation: The vibration intensity is calculated according to the root mean square (RMS) value of the acceleration signal, expressed as:

[0087] ;

[0088] where, is each sampling point of the acceleration signal, is the number of sampling points, is the representation of the vibration intensity;

[0089] Through the above content, the vibration frequency and intensity of the aircraft in different flight states can be accurately obtained, providing stable and accurate vibration data, enabling the early identification and quantification of vibration characteristics, providing reliable basic data for vibration compensation strategies, reducing the impact of vibration on the power generation system, ensuring that the system still maintains efficient and stable operation in a high-vibration environment, and thus improving the mission execution ability and service life of the aircraft.

[0090] The aircraft vibration prediction model adopts a Gaussian process regression model, and the Gaussian process regression model includes:

[0091] Define the input feature vector: The input feature vector includes the current vibration frequency of the aircraft , vibration intensity , flight altitude and flight speed , expressed as:

[0092] ;

[0093] Kernel function definition: By combining the Gaussian kernel (RBF kernel) and the periodic kernel to capture different features in the vibration data, the Gaussian kernel is used to model the stationary trend, while the periodic kernel is used to identify the periodic characteristics of the vibration, expressed as:

[0094] ;

[0095] where, is the kernel function, used to measure the similarity between the input feature vectors and , and are the signal variances of the Gaussian kernel and the periodic kernel respectively, is the length scale parameter of the Gaussian kernel, controlling the similarity between different features, is the Euclidean distance between the feature vectors and , is a periodic parameter used to capture the periodicity of vibrations. is the length scale of the periodic kernel, which controls the rate of change of periodic features;

[0096] Calculate the prior distribution: Calculate the prior distribution through the defined kernel function, and the relationship between the input feature vector and the output value is expressed as:

[0097] ;

[0098] where represents a Gaussian process, and calculates the similarity between features through the kernel function and to construct the prior distribution of vibration data;

[0099] Calculation of the predictive distribution: Given the test data point , predict the mean and variance of the prior distribution, expressed as:

[0100] ;

[0101] ;

[0102] where is the kernel function matrix between the test data point and the feature vector , representing their similarity, is the kernel function matrix between the feature vectors , is the variance of the noise term, used to control the uncertainty during model prediction, is the identity matrix, used to maintain numerical stability in matrix operations, is the kernel function value of the test data point itself, representing the autocorrelation of this point, is the kernel function matrix between the feature vector and the test data point , representing their similarity;

[0103] Vibration trend prediction output: The final prediction result is a normal distribution, where the mean represents the predicted vibration trend, and the variance represents the prediction uncertainty, expressed as:

[0104] ;

[0105] where is the objective function at the test data point predicted value, is a normal distribution, indicating that the prediction result follows a normal distribution with mean and variance as parameters;

[0106] Through the above, the future vibration trend can be accurately predicted. A custom multi-core function combination is introduced, which can not only capture the steady vibration changes but also effectively identify the periodic vibration characteristics. In addition, the predicted mean and uncertainty quantification provided by the model provide a reliable basis for the vibration compensation system, helping the system to make precise adjustments under different flight states, thus ensuring the stability and efficient operation of the power generation system. This enhanced prediction ability significantly improves the adaptability and safety of the aircraft in complex environments.

[0107] Real-time vibration compensation includes:

[0108] Vibration trend prediction: Predict the future vibration trend through the Gaussian process regression model, and output the predicted vibration frequency and vibration intensity , where:

[0109] ;

[0110] ;

[0111] Compensation strategy generation: According to the predicted vibration frequency and vibration intensity , adjust the rotational speed and power generation of the generator, expressed as:

[0112] ;

[0113] ;

[0114] Among them, is the adjusted rotational speed of the generator, is the reference rotational speed of the generator, is the vibration influence coefficient, is the adjusted power generation, is the reference power generation, is the vibration intensity influence coefficient;

[0115] Through the above, the rotational speed and power generation of the generator are dynamically adjusted, effectively reducing the impact of vibration on system performance. Through the accurate prediction of future vibration frequency and intensity, the system can take compensation measures in advance, so as to maintain a stable power generation efficiency in a high-vibration environment. This adaptive compensation strategy not only improves the reliability of the power generation system, but also can extend the service life of the equipment, reduce wear and energy efficiency loss caused by vibration, and ensure the stable operation of the aircraft under complex flight conditions.

[0116] The use time monitoring and aging assessment include:

[0117] Cumulative use time monitoring: The running time of the turbine power generation system is recorded in real time through the built-in timer , and each time it runs, the timer automatically accumulates the use duration;

[0118] Aging index calculation: Combining the expected service life , through the aging index to evaluate the aging degree of the turbine power generation system. The aging index is expressed as:

[0119] ;

[0120] Among them, is the aging index, is the current cumulative use time, is the expected service life of the system;

[0121] Aging assessment: When the aging index exceeds the preset aging threshold , it enters the attenuation stage, indicating that the turbine power generation system is approaching the end of its service life and power compensation or maintenance measures are required;

[0122] Aging threshold is set specifically as follows:

[0123] Design life benchmark setting: According to the expected service life of the turbine power generation system provided by the manufacturer, the aging threshold is initially set to 80% of the design life, expressed as:

[0124] ;

[0125] Operating environment adjustment: According to the actual operating environment of the power generation system (such as high temperature, harsh weather conditions, etc.), the initially set threshold is adjusted. If the system is in a harsh environment, the aging accelerates and the threshold should be reduced. It is adjusted through the environmental coefficient , expressed as:

[0126] ;

[0127] Among them, is the environmental impact coefficient, and its value range is from 0.7 to 1;

[0128] Vibration impact adjustment: If the system operates in an environment with high vibration frequency or high vibration intensity, the threshold should also be further reduced. According to the vibration frequency and vibration intensity weighted average to adjust the threshold, expressed as:

[0129] ;

[0130] ;

[0131] ;

[0132] Among them, is the vibration impact coefficient, is the maximum vibration intensity allowed by the system;

[0133] Through the above content, the usage time of the turbine power generation system is recorded in real time, and combined with the expected usage cycle of the system, an accurate aging assessment is provided. It can not only accurately predict the aging state of the system, but also identify potential aging risks in advance, ensure that the system is maintained or adjusted in a timely manner when the service life is approaching the end, improve the reliability and efficiency of the system, extend the service life of the equipment, and avoid sudden failures caused by aging problems.

[0134] Temperature monitoring and thermal attenuation compensation include:

[0135] Temperature monitoring: The working temperature of the turbine power generation system is collected in real time through a temperature sensor ;

[0136] Thermal attenuation effect assessment: When is higher than the optimal working temperature of the turbine power generation system , the thermal attenuation effect appears, and the thermal attenuation factor is expressed as:

[0137] ;

[0138] Among them, represents the degree of efficiency attenuation of the system caused by excessive temperature;

[0139] Adjusting working parameters in combination with the aging assessment results: Combining the aging index of the turbine power generation system, dynamically adjust the output power of the generator, expressed as:

[0140] ;

[0141] Among them, is the output power adjusted according to the thermal decay effect evaluation and the aging index, is the output power after real-time vibration compensation, and is the attenuation coefficient, which is used to control the influence of temperature decay and aging on the system;

[0142] Through the above content, the influence of the high-temperature environment on the system efficiency can be evaluated in a timely manner, and the power generation power can be dynamically adjusted according to the thermal decay effect. At the same time, combined with the aging evaluation results, the system can accurately adjust the working parameters to ensure the stability and efficiency of the power generation system under the dual influence of high temperature and aging. This not only effectively extends the service life of the equipment, but also improves the adaptability of the system in different temperature environments and reduces the performance loss caused by excessive temperature.

[0143] Load change monitoring and load adjustment include:

[0144] Load change monitoring: The current load of the turbine power generation system is monitored in real time through a power sensor ;

[0145] Analysis of the relationship between load and aging: According to the load change, analyze the aggravating effect on the aging of the turbine power generation system. When the load exceeds the rated load the aging of the turbine power generation system accelerates, and the aging acceleration factor is expressed as:

[0146] ;

[0147] Among them, is used to quantify the influence of load excess on aging acceleration;

[0148] Dynamic adjustment of output power: Based on the output power adjusted by temperature monitoring and thermal decay compensation, according to the load change and the aging acceleration factor, further adjust the output power of the turbine power generation system, expressed as:

[0149] ;

[0150] Among them, is the output power adjusted according to the load change and the aging acceleration factor, is the output power adjusted according to the thermal decay effect evaluation and the aging index, is the load influence coefficient, which controls the influence of the load on power adjustment;

[0151] Through the above, it is possible to monitor the load changes of the turbine power generation system in real time, and dynamically adjust the output power of the generator according to the impact of the load on system aging. It not only combines the results of temperature monitoring and thermal decay compensation, but also further optimizes the power output of the system, ensuring stable operation of the system under load fluctuations. By reasonably distributing power, it avoids accelerated aging caused by overload, effectively extends the service life of the equipment, and at the same time improves the adaptability and operating efficiency of the power generation system under complex working conditions.

[0152] The power management module includes:

[0153] Device priority setting: Set the priority of each device according to the task importance and real-time task requirements of the device , where represents different devices, and the priority is determined by the importance index of the device and the current task requirements jointly, expressed as:

[0154] ;

[0155] Among them, and are weight coefficients;

[0156] Power distribution calculation: Based on the adjusted power output of the generator, distribute electric energy according to the device priority , calculate the electric energy distributed to each device , expressed as:

[0157] ;

[0158] Among them, is the number of devices, represents the electric energy distributed to device

[0159] Through the above, it is ensured that electric energy is dynamically distributed according to device priority and task requirements, ensuring that critical devices always receive priority electric energy supply during task execution, optimizing the energy utilization efficiency, and combining various dynamic factors (such as load, temperature, aging, etc.) for power distribution, which not only improves the adaptability of the system, but also reduces energy waste or equipment downtime caused by improper power distribution, and further enhances the stability and reliability of the system in complex flight environments.

[0160] The present invention encompasses any alternatives, modifications, equivalent methods, and solutions that are within the spirit and scope of the present invention. To enable the public to have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention. However, those skilled in the art can fully understand the present invention even without the description of these details. Additionally, well-known methods, processes, procedures, components, and circuits are not described in detail to avoid unnecessary confusion to the essence of the present invention.

[0161] The above description is only a preferred embodiment of the present invention. It should be noted that for those of ordinary skill in the art, several improvements and refinements can be made without departing from the principle of the present invention, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. An intelligent micro-turbine power generation control system adapted to different flight altitudes, characterized in that: It includes flight environment monitoring module, vibration compensation and stability enhancement module, among which; The flight environment monitoring module monitors the flight status of the aircraft in real time, including the aircraft's usage time, ambient temperature, load changes, flight altitude, and flight speed; The vibration compensation and stability enhancement module monitors the vibration frequency and vibration intensity of the aircraft in real time, detects the vibration generated by the aircraft during flight, and automatically adjusts the working state of the generator through a vibration compensation algorithm. The vibration compensation and stability enhancement module includes: Vibration detection and analysis: The vibration frequency and vibration intensity of the aircraft are monitored in real time through the acceleration sensor, and the vibration data generated during the flight are captured; Vibration prediction: Based on the captured vibration data and the current flight status, the aircraft vibration prediction model is used to predict future vibration trends; Real-time vibration compensation: Based on the predicted vibration trend, the speed and power generation of the turbine generator are adjusted in real time. The real-time vibration compensation includes: Vibration trend prediction: Based on the flight altitude, the future vibration trend is predicted through the Gaussian process regression model, and the predicted vibration frequency f is output. pred and vibration intensity A pred ; Compensation strategy generation: Based on the predicted vibration frequency f pred and vibration intensity A pred , adjust the generator speed and power generation, expressed as: oh adjust =ω base ·(1-α·f pred ); P.S adjust JP base ·(1-β·A pred )4 Among them, ω adjust is the adjusted generator speed, ω base is the reference speed of the generator, α is the vibration influence coefficient, P adjust is the adjusted power generation, P base is the benchmark power generation, and β is the vibration intensity influence coefficient.

2. The intelligent micro-turbine power generation control system adapted to different flight altitudes according to claim 1 is characterized in that: The flight environment monitoring module includes: Usage time record: record the cumulative usage time of the aircraft and turbine power generation system through the timing unit; Temperature monitoring: Real-time monitoring of ambient temperature and the operating temperature of the turbine power generation system through temperature sensors; Load monitoring: Monitor the load changes of the turbine power generation system through power sensors to capture load fluctuations during flight; Flight altitude monitoring: The flight altitude of the aircraft is monitored in real time through the GPS unit, capturing the state changes of the aircraft at different altitudes; Flight speed monitoring: The flight speed data of the aircraft is obtained in real time through the inertial navigation system.

3. The intelligent micro-turbine power generation control system adapted to different flight altitudes according to claim 1 is characterized in that: The vibration detection and analysis includes: Vibration frequency calculation: Perform fast Fourier transform on the collected acceleration signal, convert the time domain signal into a frequency domain signal, and extract the vibration frequency component; Vibration intensity calculation: Calculate the vibration intensity based on the RMS value of the acceleration signal.

4. The intelligent micro-turbine power generation control system adapted to different flight altitudes according to claim 3 is characterized in that: The aircraft vibration prediction model adopts a Gaussian process regression model, and the Gaussian process regression model includes: Define the input feature vector: The input feature vector X contains the current vibration frequency f of the aircraft vibration , vibration intensity A RMS , flight altitude h and flight speed v; Kernel function definition: Combine the Gaussian kernel and the periodic kernel to capture different features in the vibration data; Calculate prior distribution: Calculate prior distribution through defined kernel function; Calculation of the predictive distribution: Given a test data point X * , predict the mean μ of the prior distribution * and variance Vibration trend prediction output: The final prediction result is a normal distribution with a mean μ * Indicates the predicted vibration trend, variance Represents forecast uncertainty.

5. The intelligent micro-turbine power generation control system adapted to different flight altitudes according to claim 1 is characterized in that: It also includes an aging and power generation efficiency attenuation compensation module, which predicts the aging state of the turbine power generation system based on the monitored use time, temperature, and load changes of the aircraft, and dynamically adjusts the power output through an aging compensation algorithm to compensate for the efficiency attenuation caused by aging, specifically including: Usage time monitoring and aging assessment: real-time monitoring of the cumulative usage time of the turbine power generation system, and combined with the expected usage cycle, assessment of the aging degree of the turbine power generation system; Temperature monitoring and thermal attenuation compensation: By real-time monitoring of the operating temperature of the turbine power generation system, the thermal attenuation effect caused by high-temperature operation is evaluated, and combined with the evaluation results of the aging degree of the turbine power generation system, the operating parameters of the generator are dynamically adjusted; Load change monitoring and load adjustment: Monitor the load changes of the turbine power generation system, analyze the impact of load on the aging of the turbine power generation system, and further adjust the output power of the turbine power generation system based on the output power adjusted by temperature monitoring and thermal attenuation compensation.

6. The intelligent micro-turbine power generation control system adapted to different flight altitudes according to claim 5 is characterized in that: The usage time monitoring and aging assessment include: Cumulative usage time monitoring: The built-in timer records the running time T of the turbine power generation system in real time used , each time it runs, the timer automatically accumulates the usage time; Aging index calculation: Combined with the expected use period T lifetime , the aging degree of the turbine power generation system is evaluated by the aging index T; Aging assessment: When the aging index T exceeds the preset aging threshold T th When the power is reduced, it enters the decay stage, indicating that the turbine power generation system is approaching the end of its service life and power compensation or maintenance measures are required.

7. The intelligent micro-turbine power generation control system adapted to different flight altitudes according to claim 6 is characterized in that: The temperature monitoring and thermal attenuation compensation include: Temperature monitoring: The temperature sensor is used to collect the operating temperature T of the turbine power generation system in real time. current ; Thermal attenuation effect evaluation: When T current Higher than the optimal operating temperature T of the turbine power generation system opt When , thermal attenuation effect occurs; Adjust operating parameters based on aging assessment results: Dynamically adjust the output power of the generator based on the aging index T of the turbine power generation system.

8. The intelligent micro-turbine power generation control system adapted to different flight altitudes according to claim 7 is characterized in that: The load change monitoring and load adjustment include: Load change monitoring: The current load L of the turbine power generation system is monitored in real time through the power sensor. current ; Analysis of the relationship between load and aging: According to the load change, analyze the aggravation effect on the aging of the turbine power generation system. When the load exceeds the rated load L rated When the turbine power generation system ages faster; Dynamically adjust output power: Based on the output power adjusted by temperature monitoring and thermal attenuation compensation, the output power of the turbine power generation system is further adjusted according to load changes and aging acceleration factors.

9. The intelligent micro-turbine power generation control system adapted to different flight altitudes according to claim 8 is characterized in that: It also includes an energy management module, which adjusts the energy distribution plan in real time based on the adjusted working status and power output of the generator, according to the equipment priority and task requirements, and specifically includes: Equipment priority setting: Set the priority of each device according to the mission importance and real-time mission requirements of the device. i , where i represents different devices, and the priority is determined by the importance index of the device I i and current task requirements D i Joint decision making; Power distribution calculation: Based on the adjusted power output of the generator, according to the equipment priority P i Distribute electrical energy and calculate the electrical energy E allocated to each device i i .

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