A Tuning Algorithm of PD-type Iterative Learning Control
Iterative Learning control (ILC) is a powerful control concept that iteratively improves the behaviors of processes that are repetitive in nature. A new and systematic frequency-domain approach of the PD iterative learning control has been presented based upon frequency domain of continuous model. For design specifications, including the convergence margin and cut-off frequency which is determined by useful input signal, a proper PD learning operator can be tuned practically and the obtained rate of convergence is quit good. It is also noted that, for a given plant, frequency band can not been increased much more with PD learning operator for guaranteeing convergence. Simulation results show that the proposed algorithms are practical and effective.
Iterative Learning Control PD Controller Convergence Rate Frequency Domain
Hongsheng Li Yangquan Chen Jianhua Zhang Xiulan Wen
School of Automation, Nanjing Institute of Technology, Nanjing 211167, China Center for Self-Organizing and Intelligent Systems, Utah State University, 4160 Old Main Hill, Logan
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
1-6
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）