A hypersonic vehicle attitude adaptive recursive control method and system

Abstract

A hypersonic vehicle attitude adaptive recursive control method and system, the steps are as follows: (1) Combining the control target, the aircraft re-entry attitude dynamics analysis and the unmodeled dynamics and disturbance analysis, an attitude error characteristic model with an expanded state is established , where the expanded state is used to describe the unmodeled dynamics and disturbances of the system; (2) construct a fuzzy neural network estimator to estimate the expanded state in the feature model, and combine the structure of the feature model to jointly design the parameters of the feature model and the automatic parameters of the neural network Adaptive law; (3) Based on the error surface, a recursive adaptive control law is designed to further improve the robustness of the control system. The method of the invention has better adaptability to uncertainty, has the advantages of strong robustness, high control precision, etc., and is suitable for accurate tracking of attitudes of hypersonic aircraft in complex unmodeled dynamics and strong interference environments.

Description

technical field [0001] The invention belongs to the field of aerospace and aviation, and relates to an attitude self-adaptive recursive control method based on a neural network feature model for highly uncertain hypersonic vehicles. Background technique [0002] Hypersonic vehicles often face a complex flight environment, the structural parameters and aerodynamic parameters during the flight are violently perturbed, and there are many unmodeled dynamic characteristics, which lead to strong uncertainties in the hypersonic vehicle model used for control system design. It brings difficulties to the design of high-precision attitude control. Adaptive control is a common method to solve the problem of object uncertainty, but the current aircraft attitude adaptive control method requires the specific structure of the aircraft aerodynamic model to be known, and can only solve the problem of parameter uncertainty. However, due to the lack of sufficient flight and ground tests, it i...

AI Technical Summary

Problems solved by technology

However, due to the lack of sufficient flight and ground tests, it is difficult to fully grasp the law of hypersonic gas flow, and there are strong uncertainties in the structure of the aerodynamic model

Robust control methods are also commonly used to solve the problem of object uncertainty, but the design of attitude control systems using robust control methods is based on the nominal structure of the model

However, the unmodeled dynamic characteristics of the aircraft lead to distortion of the basic structure of the control system

Images