NDLI: Performance based linear control system design by genetic evolution with simulated annealing

Content Provider	IEEE Xplore Digital Library
Author	Yun Li Kay Chen Tan Kim Chwee Ng Murray-Smith, D.J.
Copyright Year	1995
Description	Author affiliation: Dept. of Electron. & Electr. Eng., Glasgow Univ., UK (Yun Li; Kay Chen Tan; Kim Chwee Ng; Murray-Smith, D.J.)
Abstract	This paper develops a genetic algorithm based design automation method for linear control systems. It unifies the design and avoids the need for pre-selection of control schemes. Using this method, best performance is obtained for controllers described by a transfer function. The genetic algorithm encoded in decimal numerals is fine tuned by incorporating a simulated annealing technique for a more accurate search. It is shown that the design can be applied to both linear and nonlinear plants without manual calculations and can include practical constraints imposed upon the performance requirement. This method also allows the step of linearising nonlinear plants to be bypassed.
Starting Page	731
Ending Page	736
File Size	626204
Page Count	6
File Format	PDF
ISBN	0780326857
ISSN	01912216
DOI	10.1109/CDC.1995.479066
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-12-13
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Control system synthesis Simulated annealing Optimal control Automatic control Control systems Sliding mode control Nonlinear control systems Algorithm design and analysis Genetic algorithms Voltage control
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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