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Hybrid Fuzzy PID Controller for a Magnetic Suspension System via Genetic Algorithms

Abstract
Magnetic suspension systems are highly nonlinear and essentially unstable systems. In this thesis, we facilitate the position control problem for the DC electromagnetic suspension system.
We utilize a phase-lead controller operating in the inner loop to stabilize the system first, and try to design a PID fuzzy logic controller (PIDFLC) operating in the outer loop to overcome the nonlinearity of the system and to improve the system¡¦s performance.
Since the work of setting fuzzy control parameters is a long-winded trial and error, we adopt non-binary modified GAs to help us setting and optimizing parameters. As experimental results show that the designed PIDFLC not only increases the system¡¦s operating range, but also positions accurately and rapidly; meanwhile, it has the ability to eliminate extra disturbance.
In addition, comparing with other control theories, the control method which we utilize is easier to be implemented.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0620103-153213
Date20 June 2003
CreatorsLiu, Jyh-Haur
ContributorsHuey-Yang Horng, Jyh-Horng Chou, Ing-Rong Horng
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageEnglish
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0620103-153213
Rightsunrestricted, Copyright information available at source archive

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