Experimental evaluation of iterative learning control algorithms for non-minimum phase plants
Freeman, C.T., Lewin, P.L. and Rogers, E. (2005) Experimental evaluation of iterative learning control algorithms for non-minimum phase plants. International Journal of Control, 78, (11), 826-846. (doi:10.1080/00207170500158565).
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 for each method and their performance is compared. Although all the ILC strategies tested experience eventual divergence when applied to a non-minimum phase system, it is found that there is an optimum phase-lead ILC design that maximizes convergence and minimizes error. A general method of arriving at this phase-lead from knowledge of the plant model is described. A variety of filters have been applied and assessed in order to improve the overall performance of the algorithm.
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > EEE
|Date Deposited:||17 Feb 2005|
|Last Modified:||27 Mar 2014 20:03|
|Further Information:||Google Scholar|
|ISI Citation Count:||16|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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