Experimental evaluation of iterative learning control algorithms for non-minimum phase plants
نویسندگان
چکیده
منابع مشابه
Further results on the experimental evaluation of iterative learning control algorithms for non-minimum phase plants
The purpose of this paper is two-fold, firstly it describes the development and modelling of an experimental test facility as a platform on which to assess the performance of Iterative Learning Control (ILC) schemes. This facility includes a non-minimum phase component. Secondly, P-Type, D-Type and phase-lead types of the algorithm have been implemented on the test-bed, results are presented fo...
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Learning control is a very effective approach for tracking control in processes occurring repetitively over a fixed interval of time. In this paper a robust learning algorithm is proposed for a generic family of nonlinear, nonminimum phase plants with disturbances and initialization error. The ‘‘stable-inversion’’ method of Devasia, Chen and Paden is applied to develop a learning controller for...
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In order to improve the tracking performance of a non-minimum phase plant, a new method called the reference shift algorithm has been developed to overcome the problem of output lag encountered when using traditional feedback control combined with basic forms of iterative learning control. In the proposed algorithm a hybrid approach has been adopted in order to generate the next input signal. O...
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The subject of this paper is the modelling of the influence of non-minimum phase discrete-time system dynamics on the performance of norm optimal iterative learning control (NOILC) algorithms with the intent of explaining the observed phenomenon and predicting its primary characteristics. It is established that performance in the presence of non-minimum phase plant zeros typically has two phase...
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ژورنال
عنوان ژورنال: International Journal of Control
سال: 2005
ISSN: 0020-7179,1366-5820
DOI: 10.1080/00207170500158565