山东科学2016，Vol.29Issue(5)：1-8,8.DOI:10.3976/j.issn.1002-4026.2016.05.001
基于改进遗传算法的自抗扰控制器优化设计
lmproved genetic algorithm based optimization design of active disturbance rejection controller
摘要
Abstract
We present an improved genetic algorithm that can adaptively adjust control parameters based on fitness degree for the force characteristics of supercavitation navigation body and such complicated issues as nonlinearity, time lag and coupling. We construct longitudinal model of supercavitation navigation body, which is control ed by a specific active disturbance rejection control er ( ADRC) . We further improve adaptive genetic algorithm to precisely optimize it for such issues as mass control er parameters and difficult adjustment. We eventual y verify the advantage of the improved ADRC over classical ADRC through simulation. Simulation results show that the improved ADRC satisfies practical requirements and has better control effect.关键词
超空泡航行体/自抗扰控制器/改进自适应遗传算法/解耦/参数优化Key words
supercavitation navigation body/active disturbance rejection control er/improved adaptive genetic algorithm/decoupling/parameter optimization分类
信息技术与安全科学引用本文复制引用
唐勇伟,赵景波,王茂励,郝慧娟,吕晓慧..基于改进遗传算法的自抗扰控制器优化设计[J].山东科学,2016,29(5):1-8,8.基金项目
国家自然科学基金项目(51475251) （51475251）
山东省自然科学基金(ZR2013FM014 （）
ZR2015FQ015 （）
ZR2014EEM024) （）
山东省自主创新及成果转化专项(2014CGZH0806) （2014CGZH0806）
