An expert system for optimal tuning of adaptive PID regulators Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/0r967662q

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  • "Expert systems" is an area in the field of artificial intelligence which attempts to encode an "expert's" heuristic knowledge and reasoning ability into a computer program. The purpose of this study is to investigate the applicability of using an "expert system" in a closed-loop automatic control system. An "expert system" was developed to automatically tune a proportional-integral-derivative (PID) controller using heuristic reasoning. The encoded "knowledge" stated how changes in the PID gains changed the shape of the system step response. By using abductive reasoning techniques, the "expert system" could change the shape of the system step response, and thus optimize it in terms of normal step response characteristics. The heuristic knowledge was developed assuming that the parameter values of the system plant changed in a random manner. It was shown that the expert system could tune the PID for wide variations in the plant parameters and thus the tuning method was shown to be adaptive. An adaptive phase-margin tuning method was also developed for comparison purposes. The "expert system" tuned the PID controlled system successfully. A discussion is included on how to improve the "expert system" tuning scheme and possible extensions of this technique to more complicated systems.
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  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2013-05-29T18:52:16Z (GMT) No. of bitstreams: 1 SaugenJohnDavid1988.pdf: 526095 bytes, checksum: ad0af717bf0626900ed539ee1c38a1d1 (MD5)
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