Title page for etd-0620103-153213


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URN etd-0620103-153213
Author Jyh-Haur Liu
Author's Email Address eduandersen@yahoo.com.tw
Statistics This thesis had been viewed 5366 times. Download 3785 times.
Department Mechanical and Electro-Mechanical Engineering
Year 2002
Semester 2
Degree Master
Type of Document
Language English
Title Hybrid Fuzzy PID Controller for a Magnetic Suspension System via Genetic Algorithms
Date of Defense 2003-06-06
Page Count 69
Keyword
  • hybrid fuzzy controller
  • genetic algorithms
  • magnetic suspension system
  • Abstract 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.
    Advisory Committee
  • Jyh-Horng Chou - chair
  • Huey-Yang Horng - co-chair
  • Ing-Rong Horng - advisor
  • Files
  • etd-0620103-153213.pdf
  • indicate access worldwide
    Date of Submission 2003-06-20

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