Iterative Learning Control with Fized Reference Batch and Ezponential Learning Gain for Linear Systems

摘要：

A new iterative learning control (ILC) method is presented for the trajectory tracking control of a kind of linear system. This new method does not need much detailed knowledge of the system. After a fixed reference batch is properly selected, the ratio of the input change and corresponding output change between the current and fixed reference batches multiplied by an exponential learning coefficient can be used as the learning gain in the ILC law in order to calculate the input of next batch. The method can track the desired trajectory successfully while the batch number goes on. The convergence of the proposed method is analyzed and proved. The proposed method is validated on linear time-invariant (LTI) and linear time-variant (LTV) systems.

关键词： Iterative Learning Control Fized Reference Batch Ezponential Learning Gain Linear Systems

作者: Hui Geng Zhihua Xiong Yongmao Xu Jie Zhang

作者单位: Department of Automation, Tsinghua University, Beijing 100080 School of Chemical Engineering and Advanced Materials, University of Newcastle, Newcastle upon Tyne,

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 1740-1745

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）