传感技术学报2016，Vol.29Issue(6)：909-914,6.DOI:10.3969/j.issn.1004-1699.2016.06.020
基于自适应遗传算法的EHA控制器优化设计
Optinum Design of Electro-Hydrostatic Actuator Controller Based on Adaptive Genetic Algorithm
摘要
Abstract
Since Electro-hydrostatic Actuator dynamic response is difficult to meet the requirements of flight control system,this paper designed a feedback control scheme of position,speed and current closed-loop and proposed an op⁃timization method of controlller parameters based on Adaptive Genetic Algorithm. Firstlly,system model was estab⁃lished,integral separation was added to speed and current PI regulators to avoid saturation. Secondly,considering the premature convergence and low efficiency of Standard Genetic Algorithm,adaptively changed crossover and muta⁃tion probability were adopted,real-coded scheme with higher accuracy was used,appropriately weighted constaints were introduced into ITAE. Finally,through parameter tramsfer on MATALAB,algorithm was combined with Simu⁃link model for PID setting,made rise time,overshoot and accommodation time separetely descrease to 0.083 s,4.76%and 0.318 s. The experimental results show that AGA can efficiency improve EHA rapidity,accuracy and stability.关键词
电静液作动器/自适应遗传算法/实数编码/参数传递/优化设计Key words
electro-hydrostatic actuator/adaptive genetic algorithm/real-coded scheme/parameter transfer/opti-mum design分类
信息技术与安全科学引用本文复制引用
谢鹏,张红梅..基于自适应遗传算法的EHA控制器优化设计[J].传感技术学报,2016,29(6):909-914,6.基金项目
军队级科研项目 （）
