Improved genetic algorithm-based aero-engine minimum fuel consumption control optimization method considering gas path component fault
A technology of air circuit components and optimization methods, which is applied in the field of IGA-based engine minimum fuel consumption control optimization, can solve problems such as the inability to guarantee the closed-loop stability of the control system, and the inability to guarantee the engine performance of air circuit components, so as to improve flight distance and safety, Remains the same and reduces the effect
Pending Publication Date: 2021-06-11
NORTHWESTERN POLYTECHNICAL UNIV
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Therefore, the controller designed according to the engine model in the normal state generally cannot guarantee the performance of the engine when the gas circuit components fail, and even cannot guarantee the closed-loop stability of the control system
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[0057] During the operation of the aero-engine, due to natural wear, corrosion, fouling, thermal creep and other factors, the performance of the gas circuit components will degrade, and when the performance degrades to a certain extent, it will cause failure; in addition, due to damage caused by inhalation of foreign objects, Reasons such as mechanical fatigue fracture will also cause the failure of gas circuit components. The process of the former failure is relatively slow, while the process of the latter failure is rapid. When the engine gas circuit components fail but not fail, some performance of the engine will seriously deviate from the rated state. Taking turbine components as an example, when they fail, their working efficiency will decrease, that is, the ability to convert high-temperature and high-pressure gas into mechanical energy will be reduced, but it can still provide corresponding power for fans or compressor components. , making it work in a new equilibrium...
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Disclosed is an improved genetic algorithm-based aero-engine minimum fuel consumption control optimization method considering gas path component faults, a genetic algorithm is improved according to the characteristics of an aero-engine, and the aspects of initial population construction, a fitness function, a crossover operator, a mutation operator and the like of the genetic algorithm are mainly improved; the improved genetic algorithm can exert the advantages of the genetic algorithm and avoid the defects of the genetic algorithm, the convergence speed is increased, and the quality of a search result is improved. The improved genetic algorithm is used for minimum fuel consumption performance optimization. And an engine model used for optimizing the lowest fuel consumption performance is a nonlinear airborne engine model considering engine gas circuit component faults. According to the method, the real engine can still be well controlled under the condition that the engine gas circuit component breaks down, the thrust of the engine can be kept unchanged, the oil consumption rate can be reduced, and the flight distance and safety of an aircraft can be improved under the condition that the engine gas circuit component breaks down.
Description
technical field [0001] The invention relates to the technical field of aero-engine control, in particular to an IGA-based engine minimum fuel consumption control optimization method under failure of gas path components. Background technique [0002] The aeroengine is the heart of the aircraft and one of the important indicators to measure the development level of a country's aviation industry. Therefore, the research on strengthening the power system is of great significance to improve the overall level of the country's aviation technology. Because the working process of aero-engine is complex and changeable, and has strong nonlinearity, multiple control variables, time-varying and complex structure characteristics, the research on engine control is more difficult than general control system. [0003] At present, the characteristics of aero-engine control are developing toward refinement, modularization, and integration. The current engine control is no longer a simple synth...
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IPC IPC(8): G06F30/27G06N3/12
CPCG06F30/27G06N3/126
Inventor 缑林峰刘志丹孙楚佳杨江
Owner NORTHWESTERN POLYTECHNICAL UNIV