A new design methodology for iterative learning control systems is developed. It is based on the convergence condition for systems operating on an infinite time interval which is of the H, type. The principal idea of the design technique is to design a learning controller such that the speed of conv
Iterative learning control design for Smith predictor
โ Scribed by Qiuping Hu; Jian-Xin Xu; Tong Heng Lee
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 126 KB
- Volume
- 44
- Category
- Article
- ISSN
- 0167-6911
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โฆ Synopsis
The Smith predictor has been used to improve the closed-loop performance for systems with time delays. This paper proposes a frequency-domain method to design an iterative learning control to further improve the performance of Smith predictor controller. For a time-invariant plant with multiplicative perturbations and a Smith predictor controller, we derive a su cient and necessary condition (which has the same form as that of a general robust performance design problem) for the iterative process to converge for all admissible plant uncertainties. In addition, the iterative learning controller under plant uncertainty is designed. An illustrative example demonstrating the main result is presented.
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