High-supersonic-speed aircraft adaptive compensation control method based on neutral network

Abstract

The invention discloses a high-supersonic-speed aircraft adaptive compensation control method based on a neutral network. The method comprises the following steps of establishing a longitudinal dynamics model of a high-supersonic-speed aircraft, and decomposing the model into an attitude subsystem and a speed subsystem; establishing an elevator fault model of the high-supersonic-speed aircraft; constructing a smoothing function for estimating nonlinear input saturation, introducing a radial primary function neural network for estimating a nonlinear function in a longitudinal dynamic model of the high-supersonic-speed aircraft; and designing an adaptive compensation controller of the high-supersonic-speed aircraft and a corresponding parameter updating rule. The invention provides a radialbase neural network adaptive compensation control method in which elevator faults and input saturation are considered, thereby settling influence of various elevator faults and executor saturation tothe aircraft in the flight process of the high-supersonic-speed aircraft and ensuring high fault tolerance and high robustness of the system.

Description

technical field [0001] The invention belongs to the technical field of aircraft control, and in particular relates to a neural network-based adaptive compensation control method for a hypersonic aircraft. Background technique [0002] Hypersonic vehicles have attracted significant commercial and military attention in recent years as a reliable and economical means of transportation to adjacent space. However, due to its special structure and unique flight conditions, hypersonic vehicles are extremely sensitive to aerodynamic parameters, and their dynamic characteristics are highly nonlinear. All these factors make the control design of hypersonic vehicles very difficult. [0003] The use of radial basis neural network adaptive compensation control can well solve the problem of unknown nonlinear links in the system, and can ensure that the system meets the corresponding control requirements while meeting the stability requirements. So far, control methods including robust co...

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Problems solved by technology

[0004] The technical problem solved by the present invention is: as the hypersonic vehicle may be affected by various disturbance factors during the flight process, various malfunctions of the elevator may occur, and the hypersonic vehicle may have actuator input saturation during the flight process. Provides a radial basis neural network adaptive compensation control method that considers elevator failure and input saturation, solves the impact of various elevator failures and actuator saturation on the aircraft during the flight of a hypersonic vehicle, and ensures the fault tolerance of the system and robustness

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