Hypersonic aircraft neural anti-interference control method based on mixed event triggering mechanism

Abstract

The invention discloses a hypersonic aircraft neural anti-interference control method based on a mixed event triggering mechanism, and relates to the technical field of aircraft automatic control. Themethod comprises the following steps: firstly, establishing a control description-oriented AHV parameterized kinematics / dynamics model; secondly, designing a minimum parameter learning neural networklearner with low computational complexity to eliminate the influence of various disturbances on the control system in real time; thirdly, constructing a mixed event triggering mechanism based on a relative triggering threshold value and an absolute triggering threshold value, effectively reducing the information communication traffic of the control loop on the premise of not sacrificing the tracking performance, and avoiding the defects that the triggering frequency is too frequent under a fixed triggering event and the control buffeting is caused by a larger control signal under the relativetriggering event; finally, integrating the MLP observer and the event trigger controller and realizing accurate tracking control over a given height / speed instruction. The method mainly solves the problem of AHV robust flight control under the influence of airborne computing resources and multi-source interference.

Description

technical field [0001] The invention relates to the technical field of aircraft automatic control, specifically a hypersonic aircraft neural anti-jamming control method based on a mixed event trigger mechanism, which mainly solves the problem of AHV robust flight control under the influence of onboard computing resources and multi-source interference. Background technique [0002] An air-breathing hypersonic vehicle (Airbreathing Hypersonic Vehicle, AHV) generally refers to an aircraft whose flight Mach number is not less than 5 Ma and which is powered by an air-breathing scramjet engine. AHV has important civil and military value and strategic significance, and has many advantages such as high speed, high maneuverability, and large flight envelope. In recent years, researchers at home and abroad have achieved fruitful research results in the design of AHV stable flight control by applying theories such as neural network, sliding mode control, adaptive control, and robust co...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem that the existing AHV neural control strategy is difficult to meet the real-time calculation of high-ultra-fast maneuvering flight, which leads to significant control errors and the existing continuous control paradigm lacks consideration of the limited on-board computing resources, it provides a high-speed computer based on a mixed event trigger mechanism. Neural anti-jamming control method for supersonic vehicle

Images