Design and Simulation for Compensatory Controller of Aircraft Rudder Electro-hydraulic Loading System

doi:10.16182/j.issn1004731x.joss.19-0570

Abstract

Abstract: The electro-hydraulic loading system of aircraft rudder is a torque servo system which is a special equipment for testing the performance of rudder. In order to reduce the influence of surplus force in loading system, a control method for PID controller tuned in real time by radial basis function neural network based on particle swarm optimization is proposed. The characteristics of global and hyper parameter optimization of particle swarm optimization are used to improve the control effect of the controller. The learning coefficient based on annealing is used to accelerate the network convergence speed. Simulation results show that, compared with the conventional control method, the new method suppresses the interference of surplus force, achieves the high-precision loading and improves the loading accuracy and response speed.

Key words: aircraft rudder electronic-hydraulic loading system, surplus force suppression, radial basis function (RBF) neural network, particle swarm optimization algorithm

CLC Number:

V249
TP391

Liu Xiaolin, Wu Jingyi. Design and Simulation for Compensatory Controller of Aircraft Rudder Electro-hydraulic Loading System[J]. Journal of System Simulation, 2021, 33(5): 1031-1038.

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