指挥控制与仿真2013，Vol.35Issue(2)：90-92,107,4.DOI:10.3969/j.issn.1673-3819.2013.02.021
基于AFSA的自抗扰控制器参数整定
Parameters Tuning of Active Disturbance Rejection Controller(ADRC) Based on Artificial Fish Swarm Algorithm(AFSA)
摘要
Abstract
The active disturbance rejection controller, which has too many parameters to be tuned, usually depends on manual trial to optimize its parameters, and the capabilities of the control system rely on the designers' experience so the system is Inefficient. Considering the selection of ADRC parameters, a new controller parameter tuning rule is proposed based on the advantage of the artificial fish swarm algorithm including full advantage of the ability of fish algorithm of global optimization and excellent robustness, combining with the existing parameter tuning experience. The simulation results show that, the ADRC controller, which has good dynamic and static features, improves the design efficiency. The feasibility and effectiveness of this method is further verified.关键词
AFSA/群体智能/ADRC/参数整定Key words
artificial fish swarm algorithm/swarm intelligence/active disturbance rejection controller/parameters tuning分类
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胡轶,王民钢,杨尧..基于AFSA的自抗扰控制器参数整定[J].指挥控制与仿真,2013,35(2):90-92,107,4.
