自动化学报2017，Vol.43Issue(1)：94-100,7.DOI:10.16383/j.aas.2017.c150698
基于切换机制的多模型自适应混合控制
Multiple Model Adaptive Mixing Control Based on Switching
摘要
Abstract
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.关键词
多模型/自适应/混合控制/切换Key words
Multiple models/adaptive/mixing control/switching control引用本文复制引用
曹叙风,王昕,王振雷..基于切换机制的多模型自适应混合控制[J].自动化学报,2017,43(1):94-100,7.基金项目
国家自然科学基金(61673268，61333010,61533012),上海市自然科学基金(13ZR1411300,14ZR1410000,14ZR1421800)和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Supported by National Natural Science Foundation of China (61673268,61333010,61533012), Natural Science Foundation of Shanghai (13ZR1411300,14ZR1410000,14ZR1421800), the State Key Laboratory of Synthetical Automation for Process Industries (PAL-N201404) （61673268，61333010,61533012）
