Research And Design Of Control Assignment Strategy Based On Swarm Intelligence Algorithm

With the continuous development of aerospace technology,modern advanced aircraft mostly adopt multi-control surface aerodynamic layout to improve flight performance,which makes the number of system inputs more than the system output,and it becomes an over-driven aircraft.Control allocation,as a key method for redundant control of over-driven aircraft,can accurately assign control commands to various control surfaces.Therefore,this paper will combine the popular swarm intelligence algorithms to design a control distribution law for over-driven aircraft,and then design an adaptive reconstruction control law based on this.The main contents of this article are as follows:First of all,in view of the disadvantages of traditional particle swarm optimization,such as premature convergence and local optimal solution,an improved genetic learning particle swarm optimization algorithm is proposed.This algorithm combines genetic algorithm and particle swarm algorithm,introduces time-varying acceleration factors and nonlinear inertial weights,and changes the rate update method of particle swarm algorithm,thereby enriching population diversity,improving particle quality,and improving algorithm performance.Then,an improved genetic learning particle swarm algorithm was used to design the control distribution law of the overdrive aircraft control system.Based on this,according to the different performance requirements in the flight mission,combined with multi-objective optimization theory,an intelligent multi-objective control allocation law is proposed,which can simultaneously consider the control surface constraints and multiple performance indicators to achieve the control surface deflection position.Real-time optimization of the matrix parameters of each channel to ensure that the aircraft quickly and accurately track control instructions and improve control efficiency.Finally,in order to further improve the reliability of the system,this paper designs an adaptive control allocation and reconstruction control law.Based on the tracking error of the faulty system and the reference model,an adaptive control law is designed to adjust the control allocation efficiency matrix online to improve the fault The system controls the allocation performance and performs control redistribution,so that the system output re-tracks the normal reference signal and maintains the smooth operation of the aircraft.