Title page for etd-0624104-182807


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URN etd-0624104-182807
Author Jiun-kuei Huang
Author's Email Address No Public.
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Department Mechanical and Electro-Mechanical Engineering
Year 2003
Semester 2
Degree Master
Type of Document
Language English
Title Hybrid Fuzzy PID Controller with Adaptive Genetic Algorithms for the Position Control and Improvement of Magnetic Suspension System
Date of Defense 2004-06-11
Page Count 96
Keyword
  • fuzzy PID controller
  • magnetic suspension system
  • adaptive genetic algorithms
  • Abstract Magnetic suspension systems are highly nonlinear and essentially unstable systems. In this thesis, we utilize a phase-lead controller operating in the inner loop to stabilize the magnetic suspension system at first. Furthermore, we design a fuzzy PID controller operating in the outer loop to overcome the nonlinearity and to improve the system’s performances.
      Because of setting the parameters in traditional fuzzy PID is a long-winded trial and error, so we adopt non-binary modified adaptive genetic algorithms to help us finding the parameters of fuzzy PID controller. As to the experimental implementation,  we set two situations in our experiment test: (1) we utilize fuzzy PID controller with initial voltage to test the positions control, and eliminate the extra disturbance. And, (2) we utilize fuzzy PID controller without initial voltage to control the position of suspension object.
      For the experimental results, we obtain that the designed fuzzy PID controller not only increases the system’s operating range, but also positions accurately and rapidly, and it meanwhile can eliminate the extra disturbance.
    Advisory Committee
  • Tsung-Chuan Huang - chair
  • Chien-Hsiang Chao - co-chair
  • Ing-Rong Horng - advisor
  • Files
  • etd-0624104-182807.pdf
  • indicate accessible in a year
    Date of Submission 2004-06-24

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