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Research on parameter optimization method of electro-hydraulic actuator controller based on particle swarm algorithm
Time: 2023-03-10 Counts:

HU W Q, YANG X J, DONG Y Q,et al.Research on parameter optimization method of electro-hydraulic actuator controller based on particle swarm algorithm[J].Journal of Henan Polytechnic University(Natural Science) ,2023,42(2):114-119.

doi:10.16186/j.cnki.1673-9787.2021050130

Received:2021/05/29

Revised:2021/11/18

Published:2023/03/25

Research on parameter optimization method of electro-hydraulic actuator controller based on particle swarm algorithm

HU Wanqiang1, YANG Xijun2, DONG Yongqiang1, LI Yaohui1

1.School of Electrical & Mechanical EngineeringXuchang UniversityXuchang  461000HenanChina2.School of Mechanical and Power EngineeringYingkou Institute of TechnologyYingkou  115014LiaoningChina

Abstract:In order to solve the problems of nonlinearuncertain and chattering in electro-hydraulic actuator systemEHA),a particle swarm optimizationPSOalgorithm was proposed to optimize the parameters of the EHA controllerthe traditional sliding mode controlSMC variables were optimized by PSO algorithm in real time under the condition of external interferenceso as to make the EHA system produce accurate motion.Firstlythe EHA was modeledthe system state equation was obtainedthen the traditional SMC was introducedthe PSO algorithm was introduced into the SMC to optimize its switching control in real timethe optimal SMC variable was optimized in case of external interferenceso as to ensure that the EHA system could produce accurate position tracking in the light of the input signal.The system model of sliding mode controller was established and simulated by using Simulink module of MATLAB.the simulation results showed that the proposed controller could make the sliding mode variables converge quickly under the condition of disturbanceand could realize the fast and accurate position tracking of the target curvewhich greatly improved the robustness of the systemthus the results showed that the proposed control scheme was effective and scientific.

Key words:EHA system;PSO algorithm;SMC;real-time optimization;position tracking

 015_2021050130_胡万强_H.pdf

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