摘要
针对广义非线性系统中滑模控制器参数的整定问题，提出了一种新的基于差分进化优化算法的参数整定方法。先对广义非线性系统设计了一种滑模鲁棒控制器；接着给出了基于跟踪误差、控制力矩和收敛时间的参数整定优化指标，并以该指标为适应值，利用改进差分进化优化算法对滑模控制器的参数进行整定。数值仿真结果显示，差分进化算法具有更快的收敛速度．能使闭环系统具有更好的动态性能。
A parameter setting method based on differential evolution optimization algorithm is proposed for solving the setting problem of sliding mode controller＇s parameters in the generalized nonlinear systems. Firstly, a sliding mode robust controller is designed for the generalized nonlinear system. Then, the optimizing index of parameters setting is presented based on the tracking error, the control torque and the convergence time. The parameters of the sliding mode controller are determined by using the improved differential evolution algorithm. Numerical simulation results show that the differential evolution algorithm has faster convergence speed, and can make the closed-loop system have better dynamic performance.
出处
《控制工程》
CSCD
北大核心
2018年第3期484-487,共4页
Control Engineering of China
基金
陕西省教育厅项目(16JK2239)
基于数字图像处理的三坐标测量机开发
关键词
关键字
非线性系统
滑模控制
参数整定
差分进化算法
Nonlinear system
sliding mode control
parameter tuning
differential evolution algorithm
