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A tuning algorithm of PD-type Iterative Learning Control

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4 Author(s)
Hongsheng Li ; Sch. of Autom., Nanjing Inst. of Technol., Nanjing, China ; Yang Quan Chen ; Jianhua Zhang ; Xiulan Wen

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.

Published in:

Control and Decision Conference (CCDC), 2010 Chinese

Date of Conference:

26-28 May 2010

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