NDLI: Multivariable controller tuning by genetic algorithms

Content Provider	IEEE Xplore Digital Library
Author	Atanasijevic-Kunc, M. Karba, R.
Copyright Year	2000
Description	Author affiliation: Fac. of Electr. Eng., Ljubljana, Slovenia (Atanasijevic-Kunc, M.; Karba, R.)
Abstract	Multivariable control design methods usually involve quite complex procedures and algorithms. The approaches which try to avoid this complexity can be found between the so called tuning methods. The simplification can be explained through the following ideas: the chosen structure is usually PI-controller, the complete model information is not an imperative, tuning procedure is comparable with the methods for univariable systems, this. Means for the systems with single input and single output. The potential difficulty which can in such situations be expected is that the resulting closed-loop structure is far from an optimal. That means that retuning of the parameters only (additional design freedom) can result in much better solution. In the paper the procedure is suggested for optimisation approach where genetic algorithms are combined with some other design approaches. Specified criterion is rather general and can be regarded as a part of design procedure but it can also be used as selfstanding design approach. The efficacy is presented through results obtained for the model of the real pilot plant of three coupled tanks.
Starting Page	337
Ending Page	342
File Size	510647
Page Count	6
File Format	PDF
ISBN	9539676916
ISSN	13301012
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-06-13
Publisher Place	Croatia
Access Restriction	Subscribed
Rights Holder	Univ of Zagreb
Subject Keyword	Genetic algorithms Design optimization Control design Algorithm design and analysis Equations Steady-state Working environment noise Signal processing Design methodology
Content Type	Text
Resource Type	Article

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