【作者】 刘家振； 王昕； 王振雷； 钱锋；

【Author】 Jiazhen Liu1, Xin Wang2,Zhenlei Wang 1,Feng Qian1 1 Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education East China University of Science and Technology, shanghai 200237, China 2Center of Electrical & Electronic Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China

【机构】 化工过程先进控制和优化技术教育部重点实验室华东理工大学； 上海交通大学电工与电子技术中心；

【摘要】 针对传统鲁棒自适应控制暂态性能差的缺点,本文提出了多模型鲁棒自适应控制方法。本文首先采用正则化技术将系统未建模动态转化为系统有界扰动,并在此基础上利用系统低阶模型设计多模型鲁棒自适应控制器,仿真实验说明本文提出的方法能获得较好的控制效果。更多还原

【Abstract】 The traditional robust adaptive control is easily trapped in transient performance. To solve these problems, this paper proposes the multi-model robust adaptive control. First, the regularization is used to convert the system unmodeled dynamic to bounded disturbance, and then, the multi-model robust adaptive controllers are designed based on system reduced model. The last simulation illustrates that the proposed method is preferable.更多还原