Intelligent micro turbine power generation control system adaptive to different flight heights

Abstract

The invention relates to the technical field of micro turbine power generation, in particular to an intelligent micro turbine power generation control system suitable for different flight heights, which comprises a flight environment monitoring module, a vibration compensation and stability enhancement module, an aging and power generation efficiency attenuation compensation module and an electric energy management module, 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 attenuation compensation module predicts the aging state of the turbine power generation system and dynamically adjusts power generation power output through an aging compensation algorithm; and the electric energy management module adjusts an electric energy distribution scheme in real time according to the priority of the equipment and task requirements. According to the invention, the influence of vibration and aging effects on system efficiency is effectively reduced, and the service life of power generation equipment is prolonged.

Description

Technical Field

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

[0002] With the widespread application of drones and low-altitude aircraft in logistics, agriculture, and surveying, the demand for continuous power supply for aircraft at different altitudes and in complex environments has become critical. Micro-turbine power generation systems have become commonly used power supply equipment for aircraft due to their light weight, high energy density, and strong adaptability. However, the working environment of aircraft is complex and changeable. Changes in temperature, vibration, load, and flight altitude will affect the operating 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 to 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 various external environmental parameters during flight in real time. Factors such as vibration, high temperature, and load fluctuations often lead to unstable system operation, thereby shortening the service life of the equipment. In addition, the power distribution modules in the existing technology are mostly based on fixed strategies, which are difficult to dynamically adjust according to mission requirements and equipment priorities, resulting in power waste or insufficient power supply to key equipment during mission execution. These technical bottlenecks limit the widespread 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 that can adapt to different flight altitudes, ensuring that the power generation system maintains efficient and stable operation under complex environments such as high vibration, temperature fluctuations and load changes. At the same time, it optimizes power distribution according to equipment priority and mission requirements, thereby improving the system's adaptability, reliability and energy utilization efficiency. Summary of the invention

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

[0006] An 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 attenuation compensation module, and an electric energy management module, among which;

[0007] 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;

[0008] 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;

[0009] The aging and power generation efficiency attenuation compensation module 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 the aging compensation algorithm to compensate for the efficiency attenuation caused by aging, specifically including:

[0010] 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;

[0011] 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;

[0012] Load change monitoring and load adjustment: monitor the load change 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;

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

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

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

[0016] Temperature monitoring: Real-time monitoring of ambient temperature and the operating temperature of the turbine power generation system through temperature sensors;

[0017] Load monitoring: Monitor the load changes of the turbine power generation system through power sensors to capture load fluctuations during flight;

[0018] 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;

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

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

[0021] 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;

[0022] 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;

[0023] Real-time vibration compensation: Based on the predicted vibration trend, the turbine generator speed and power generation are adjusted in real time.

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

[0025] Vibration frequency calculation: Perform fast Fourier transform (FFT) on the collected acceleration signal to convert the time domain signal into the frequency domain signal and extract the vibration frequency component;

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

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

[0028] Define the input feature vector: Input feature vector Contains 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 prior distribution: Calculate prior distribution through defined kernel function;

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

[0032] Vibration trend prediction output: The final prediction result is a normal distribution with a mean Indicates the predicted vibration trend, variance Represents forecast uncertainty.

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

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

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

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

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

[0038] Aging index calculation: combined with expected use cycle , through the aging index Assess the aging of turbine power generation systems;

[0039] Aging Assessment: When Aging Index Exceeding the preset aging threshold 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.

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

[0041] Temperature monitoring: The temperature sensor is used to collect the operating temperature of the turbine power generation system in real time ;

[0042] Thermal attenuation effect assessment: When Higher than the optimal operating temperature of the turbine power generation system When , thermal attenuation effect occurs;

[0043] Adjusting operating parameters based on aging assessment results: Incorporating aging indices of turbine power generation systems , dynamically adjust the output power of the generator.

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

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

[0046] Analysis of the relationship between load and aging: According to the load changes, analyze the aggravation effect on the aging of the turbine power generation system. When the load exceeds the rated load When the turbine power generation system ages faster;

[0047] 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.

[0048] Optionally, the power management module includes:

[0049] Device priority setting: Set the priority of each device according to the device's mission importance and real-time task requirements ,in Indicates different devices, with priority determined by the device's importance index and current mission requirements Joint decision making;

[0050] Power distribution calculation: Based on the adjusted power output of the generator, according to the equipment priority Distribute power and calculate the amount allocated to each device Electricity .

[0051] Beneficial effects of the present invention:

[0052] The present invention monitors the operating status of the aircraft in real time through a flight environment monitoring module, including usage time, temperature, load, flight altitude and speed, and can dynamically perceive environmental changes to ensure that the system can respond promptly to different flight altitudes and complex flight environments, especially under changing mission requirements. It optimizes the operating status of the turbine power generation system and improves the stability and adaptability of the system under complex flight conditions.

[0053] The present invention combines a vibration compensation and stability enhancement module with an aging and power generation efficiency attenuation compensation module, and can mitigate the negative impact of vibration, high temperature, and load fluctuation on the power generation system through real-time monitoring, prediction, and compensation, ensuring that the system can still maintain efficient operation under high load and long-term operation conditions. The vibration trend is accurately predicted through a Gaussian process regression model, and the speed and power of the generator are dynamically adjusted, effectively reducing the impact of vibration and aging effects on system efficiency and extending the service life of the power generation equipment.

[0054] The present invention distributes electric energy intelligently and dynamically optimizes power output according to equipment priority and task requirements to ensure that equipment can obtain priority power supply during critical tasks. In combination with multiple influencing factors such as vibration, temperature and load, the system can flexibly adjust the power distribution plan to avoid energy waste or system failure caused by improper power distribution, further improving the system's energy utilization efficiency and the reliability of task execution. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0056] Figure 1 A schematic diagram of system function modules according to an embodiment of the present invention;

[0057] Figure 2 Schematic diagram of an aging and power generation efficiency attenuation compensation module according to an embodiment of the present invention. DETAILED DESCRIPTION

[0058] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. At the same time, it is explained here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments, and those skilled in the art may also adopt other alternatives to implement some known technologies; and the accompanying drawings are only for more specific description of the embodiments, and are not intended to specifically limit the present invention.

[0059] It should be noted that the references to "one embodiment", "embodiment", "exemplary embodiments", "some embodiments" and the like in the specification indicate that the embodiments described may include specific features, structures or characteristics, but not every embodiment may include the specific features, structures or characteristics. In addition, when a specific feature, structure or characteristic is described in conjunction with an embodiment, it should be within the knowledge of a person skilled in the art to implement such feature, structure or characteristic in conjunction with other embodiments (whether or not explicitly described).

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

[0061] like Figure 1-Figure 2 As 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 attenuation compensation module, and an electric energy management module, wherein;

[0062] 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;

[0063] 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 the vibration compensation algorithm to reduce the negative impact of vibration on power generation and ensure that the power generation system maintains stable operation in a high-vibration environment;

[0064] The aging and power generation efficiency attenuation compensation module predicts the aging status of the turbine power generation system based on the monitored aircraft usage time, temperature, and load changes, and dynamically adjusts the power output through the aging compensation algorithm to compensate for the efficiency attenuation 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: 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;

[0066] 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. Combined with the evaluation results of the aging degree of the turbine power generation system, the operating parameters of the generator are dynamically adjusted to mitigate 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 based on the output power adjusted by temperature monitoring and thermal attenuation compensation to ensure that the system works within a reasonable load range and slow down the aging process;

[0068] The power management module adjusts the power distribution plan in real time based on the adjusted generator working status and power output, according to the equipment priority and mission requirements, to ensure that key equipment always has sufficient power supply during the flight mission and improve power utilization efficiency;

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

[0070] The flight environment monitoring module includes:

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

[0072] Temperature monitoring: Real-time monitoring of ambient temperature and the operating temperature of the turbine power generation system through temperature sensors;

[0073] Load monitoring: Monitor the load changes of the turbine power generation system through power sensors to capture load fluctuations during flight;

[0074] 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;

[0075] Flight speed monitoring: obtain the flight speed data of the aircraft in real time through the inertial navigation system;

[0076] Through the above content, it is possible to provide comprehensive environmental perception capabilities by obtaining the aircraft's temperature, load, flight altitude and speed in real time, ensuring that the system can respond promptly to changes in flight status, dynamically optimize the operation of the power generation system, improve the system's adaptability and efficiency, 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 the acceleration sensor, and the vibration data generated during the flight are captured;

[0079] 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;

[0080] Real-time vibration compensation: Based on the predicted vibration trend, the 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 content, the vibration of the aircraft can be monitored in real time, the future vibration trend can be predicted, and the working state of the power generation system can be dynamically adjusted according to the prediction results to ensure that the generator can still maintain stable operation in a high vibration environment. It can effectively reduce the negative impact of vibration on the power generation system and improve the stability and power generation efficiency of the system. It is especially suitable for UAVs in complex flight environments to ensure the continuity and reliability of flight missions.

[0082] Vibration detection and analysis include:

[0083] Vibration frequency calculation: Perform fast Fourier transform (FFT) on the collected acceleration signal, convert the time domain signal into a frequency domain signal, and extract the vibration frequency component, which is expressed as:

[0084] ;

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

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

[0087] ;

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

[0089] Through the above content, the vibration frequency and intensity of the aircraft under different flight conditions can be accurately obtained, stable and accurate vibration data can be provided, vibration characteristics can be identified and quantified in advance, reliable basic data can be provided for vibration compensation strategies, and the impact of vibration on the power generation system can be reduced. Ensure that the system still maintains efficient and stable operation in a high-vibration environment, thereby improving the mission execution capability and service life of the aircraft.

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

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

[0092] ;

[0093] Kernel function definition: The Gaussian kernel (RBF kernel) and the periodic kernel are combined 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, which can be expressed as:

[0094] ;

[0095] in, is a kernel function used to measure the input feature vector and The similarities between and are the signal variances of the Gaussian kernel and the periodic kernel, is the length scale parameter of the Gaussian kernel, controlling the similarity between different features, is the eigenvector and The Euclidean distance of is the period parameter, used to capture the periodicity of vibration, is the length scale of the periodic core, controlling the speed of change of the periodic features;

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

[0097] ;

[0098] in, Represents a Gaussian process, through the kernel function Calculate features and The similarity between them is used to construct the prior distribution of vibration data;

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

[0100] ;

[0101] ;

[0102] in, For test data points With the eigenvector The kernel function matrix between them represents the similarity between them. is the feature vector The kernel function matrix between is the variance of the noise term, which is used to control the uncertainty of model prediction. is the unit matrix, which is used to maintain numerical stability in matrix operations. For test data points The kernel function value of itself indicates the autocorrelation of the point. is the feature vector With test data points The kernel function matrix between them represents the similarity between them;

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

[0104] ;

[0105] in, is the objective function At the test data point The predicted value on It is a normal distribution, indicating that the prediction results follow the mean and variance is the normal distribution of the parameter;

[0106] Through the above content, future vibration trends can be accurately predicted. A customized multi-core function combination is introduced, which can not only capture smooth vibration changes, but also effectively identify 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 conditions, thereby ensuring the stability and efficient operation of the power generation system. This enhanced predictive capability significantly improves the adaptability and safety of aircraft in complex environments.

[0107] Real-time vibration compensation includes:

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

[0109] ;

[0110] ;

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

[0112] ;

[0113] ;

[0114] in, is the adjusted generator speed, is the base speed of the generator, is the vibration influence coefficient, is the adjusted power generation, is the benchmark power generation, is the vibration intensity influence coefficient;

[0115] Through the above content, the speed and power generation of the generator are dynamically adjusted to effectively reduce the impact of vibration on system performance. By accurately predicting the future vibration frequency and intensity, the system can take compensation measures in advance to maintain 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 extends the service life of the equipment, reduces wear and energy efficiency loss caused by vibration, and ensures the stable operation of the aircraft under complex flight conditions.

[0116] Usage time monitoring and aging assessment include:

[0117] Cumulative usage time monitoring: Real-time recording of turbine power generation system operation time through the built-in timer , each time it runs, the timer automatically accumulates the usage time;

[0118] Aging index calculation: combined with expected use cycle , through the aging index To evaluate the aging degree of turbine power generation system, the aging index is expressed as:

[0119] ;

[0120] in, is the aging index, is the current accumulated usage time, The expected life cycle of the system;

[0121] Aging Assessment: When Aging Index Exceeding the preset aging threshold When the turbine power generation system reaches the end of its service life, it enters the decay stage and needs power compensation or maintenance measures.

[0122] Aging Threshold The settings include:

[0123] Design life benchmark setting: based on 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] Adjustment of operating environment: According to the actual operating environment of the power generation system (such as high temperature, bad weather conditions, etc.), the threshold value set initially is adjusted. If the system is in a bad environment, the aging is accelerated and the threshold value should be lowered. Adjustment, expressed as:

[0126] ;

[0127] in, is the environmental impact coefficient, ranging from 0.7 to 1;

[0128] Vibration impact adjustment: If the system is running in a high vibration frequency or high vibration intensity environment, the threshold should be further lowered according to the vibration frequency. and vibration intensity The weighted average The threshold is adjusted as follows:

[0129] ;

[0130] ;

[0131] ;

[0132] in, is the vibration influence coefficient, is the maximum vibration intensity allowed by the system;

[0133] Through the above content, the use time of the turbine power generation system is recorded in real time, and combined with the expected use cycle of the system, an accurate aging assessment is provided, which can not only accurately predict the aging status of the system, but also identify potential aging risks in advance, ensuring that the system is maintained or adjusted in time when its service life is nearing the end, thereby improving the reliability and efficiency of the system, extending the service life of the equipment, and avoiding sudden failures caused by aging problems.

[0134] Temperature monitoring and thermal attenuation compensation include:

[0135] Temperature monitoring: The temperature sensor is used to collect the operating temperature of the turbine power generation system in real time ;

[0136] Thermal attenuation effect assessment: When Higher than the optimal operating temperature of the turbine power generation system When the thermal attenuation effect occurs, the thermal attenuation factor It is expressed as:

[0137] ;

[0138] in, Indicates the degree of system efficiency reduction due to excessive temperature;

[0139] Adjusting operating parameters based on aging assessment results: Incorporating aging indices of turbine power generation systems , dynamically adjust the output power of the generator, expressed as:

[0140] ;

[0141] in, To evaluate the output power according to the thermal attenuation effect and the aging index, is the output power after real-time vibration compensation, and is the attenuation coefficient, which is used to control the impact of temperature attenuation and aging on the system;

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

[0143] Load change monitoring and load adjustment include:

[0144] Load change monitoring: Real-time monitoring of the current load of the turbine power generation system through power sensors ;

[0145] Analysis of the relationship between load and aging: According to the load changes, analyze the aggravation effect on the aging of the turbine power generation system. When the load exceeds the rated load When the turbine power generation system ages faster, the aging acceleration factor It is expressed as:

[0146] ;

[0147] in, Used to quantify the effect of overloading on accelerated aging;

[0148] Dynamically adjust the 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 the load change and aging acceleration factor, which is expressed as:

[0149] ;

[0150] in, It is the output power adjusted according to load changes and aging acceleration factors. It is the output power after thermal attenuation effect evaluation and aging index adjustment. is the load influence factor, which controls the effect of the load on power regulation;

[0151] Through the above content, the load changes of the turbine power generation system can be monitored in real time, and the output power of the generator can be dynamically adjusted according to the impact of the load on the system aging. It not only combines the results of temperature monitoring and thermal attenuation compensation, but also further optimizes the power output of the system to ensure that the system maintains stable operation under load fluctuations. By reasonably allocating power, accelerated aging caused by overload is avoided, the service life of the equipment is effectively extended, and at the same time the adaptability and operating efficiency of the power generation system under complex working conditions are improved.

[0152] The power management module includes:

[0153] Device priority setting: Set the priority of each device according to the device's mission importance and real-time task requirements ,in Indicates different devices, with priority determined by the device's importance index and current mission requirements Joint decision, expressed as:

[0154] ;

[0155] in, and is the weight coefficient;

[0156] Power distribution calculation: Based on the adjusted power output of the generator, according to the equipment priority Distribute power and calculate the amount allocated to each device Electricity , expressed as:

[0157] ;

[0158] in, is the number of devices, Indicates the device is assigned of electrical energy;

[0159] Through the above content, it is ensured that electric energy is dynamically allocated according to equipment priority and mission requirements, ensuring that key equipment always obtains priority power supply during mission execution, optimizing energy utilization efficiency, and combining multiple dynamic factors (such as load, temperature, aging, etc.) for power distribution. This not only improves the adaptability of the system, but also reduces energy waste or equipment downtime caused by improper power allocation, further enhancing the stability and reliability of the system in complex flight environments.

[0160] The present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention. In order to make the public have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, but those skilled in the art can fully understand the present invention without the description of these details. In addition, in order to avoid unnecessary confusion about the essence of the present invention, well-known methods, processes, procedures, components and circuits are not described in detail.

[0161] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection 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, aging and power generation efficiency attenuation compensation module and power management 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 aging and power generation efficiency attenuation compensation module 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 the 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 change 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; The power management module adjusts the power distribution plan in real time based on the adjusted working status and power output of the generator, according to equipment priority and task requirements.

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 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 turbine generator speed and power generation are adjusted in real time.

4. The intelligent micro-turbine power generation control system adapted to different flight altitudes according to claim 3 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.

5. The intelligent micro-turbine power generation control system adapted to different flight altitudes according to claim 4 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: Input feature vector Contains the current vibration frequency of the aircraft , vibration intensity , Flight altitude and flight speed ; 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 , predict the mean of the prior distribution and variance ; Vibration trend prediction output: The final prediction result is a normal distribution with a mean Indicates the predicted vibration trend, variance Represents forecast uncertainty.

6. The intelligent micro-turbine power generation control system adapted to different flight altitudes according to claim 5 is characterized in that: The real-time vibration compensation comprises: Vibration trend prediction: Predict future vibration trends through Gaussian process regression model and output predicted vibration frequency and vibration intensity ; Compensation strategy generation: Based on the predicted vibration frequency and vibration intensity , adjust the speed and power generation of the generator.

7. The intelligent micro-turbine power generation control system adapted to different flight altitudes according to claim 6 is characterized in that: The usage time monitoring and aging assessment include: Cumulative usage time monitoring: Real-time recording of turbine power generation system operation time through the built-in timer , each time it runs, the timer automatically accumulates the usage time; Aging index calculation: combined with expected use cycle , through the aging index Assess the aging of turbine power generation systems; Aging Assessment: When Aging Index Exceeding the preset aging threshold 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.

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

9. The intelligent micro-turbine power generation control system adapted to different flight altitudes according to claim 8 is characterized in that: The load change monitoring and load adjustment include: Load change monitoring: Real-time monitoring of the current load of the turbine power generation system through power sensors ; Analysis of the relationship between load and aging: According to the load changes, analyze the aggravation effect on the aging of the turbine power generation system. When the load exceeds the rated load 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.

10. The intelligent micro-turbine power generation control system adapted to different flight altitudes according to claim 9, characterized in that: The power management module comprises: Device priority setting: Set the priority of each device according to the device's mission importance and real-time task requirements ,in Indicates different devices, with priority determined by the device's importance index and current mission requirements Joint decision making; Power distribution calculation: Based on the adjusted power output of the generator, according to the equipment priority Distribute power and calculate the amount allocated to each device of electricity .

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