摘要
针对多模型自适应混合控制的性能依赖系统参数估计误差大小的缺点,本文提出了基于切换机制的多模型自适应混合控制.首先对被控系统进行辨识,然后根据参数估计值进行判断.当参数估计值不在最优参数集内时,实行切换策略,重置参数估计值到最优参数集内,用以减小暂态误差,提高暂态性能;当参数估计值在最优参数集内时,实行混合控制,用以平滑过渡过程.文中给出了系统的稳定性和收敛性的证明,最后的仿真实验结果验证了所提出方法的可行性.
As the performance of the multiple model adaptive mixing control depends on the error of parameter estimates,a multiple model adaptive mixing control based on switching is proposed in this paper. The system is identified first and parameter estimates are obtained. When the parameter estimates are not in the optimal parameter set, switching control is applied to reset the parameter estimates in the optimal parameter set. As a result, the transient error gets smaller and the transient performance improves. When the parameter estimates are in the optimal parameter set, mixing control is used to smooth the transition process. In addition, the analysis of the stability and convergence is presented. Finally, the feasibility of the method is verified in the simulation.
作者
曹叙风
王昕
王振雷
CAO Xu-Feng WANG Xin WANG Zhen-Lei(Key Laboratory of Advanced Control and Optimization for Chemical Processes, East China University of Science and Tech- nology, Shanghai 200237 Center of Electrical 8z Electronic Technology, Shanghai Jiao Tong University, Shanghai 200240)
出处
《自动化学报》
EI
CSCD
北大核心
2017年第1期94-100,共7页
Acta Automatica Sinica
基金
国家自然科学基金(61673268,61333010,61533012)
上海市自然科学基金(13ZR1411300,14ZR1410000,14ZR1421800)
流程工业综合自动化国家重点实验室开放课题基金(PAL-N201404)资助
关键词
多模型
自适应
混合控制
切换
Multiple models
adaptive
mixing control
switching control
