Triggering-type predictive control-based aircraft control method

Abstract

The invention discloses a triggering-type predictive control-based aircraft control method. The method includes the following steps that: the optimal control sequence of a model predictive control algorithm at each sampling time point is determined; the condition triggering equation of a condition triggering mechanism is determined through the output and state variable of a system; and the condition threshold value of the system is set according to control requirements, whether the system should perform condition triggering is judged according to the comparison result of the value of the condition triggering equation and the threshold value at each sampling time point. According to the triggering-type predictive control-based aircraft control method of the invention, the model predictive control algorithm and the condition triggering mechanism are combined according to the problem of large on-line computation amount of a traditional model predictive control algorithm, and therefore, the computation amount of the model predictive control algorithm can be decreased, and the on-line implementation efficiency of the model predictive control algorithm can be improved.

Description

technical field [0001] The invention relates to an aircraft control method, in particular to an aircraft control method based on trigger-type predictive control. The method adds a conditional trigger mechanism on the basis of traditional model predictive control to solve the problem of online calculation of traditional model predictive control. Thereby improving its implementation efficiency in the aircraft control process, which belongs to the technical field of aircraft control. Background technique [0002] In recent years, with the development of unmanned aerial vehicle application technology, its control technology has gradually become the focus of the industry. Many scholars have also proposed many aircraft control methods: online optimal aircraft control system based on DHP algorithm, optimal control algorithm based on sliding mode control, backstepping quadrotor aircraft control system based on Lyapunov stability criterion. The online optimal aircraft control system...

AI Technical Summary

Problems solved by technology

At the same time, optimization is restricted by more factors. In addition to the constraints of physical conditions such as traditional actuators, various manufacturability, safety, economy (quality, energy consumption, etc.) and social aspects (environmental protection, urban governance, etc.) must also be considered etc.) index constraints, these two factors pose new challenges to the constrained optimal control of complex systems

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