Title page for etd-0705100-113139


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URN etd-0705100-113139
Author Fu-Chih Hsiao
Author's Email Address m8732669@student.nsysu.edu.tw
Statistics This thesis had been viewed 5377 times. Download 2548 times.
Department Mechanical Engineering
Year 1999
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Genetic Algorithms to the Precision Position Control of Linear Motors
Date of Defense 2000-06-30
Page Count 83
Keyword
  • Relay-feedback Control
  • Auto-tuning PID Control
  • Genetic Algorithm
  • Precision Position
  • Linear DC Motors
  • Abstract  The main purpose of this thesis is to design a positioning system that matches the demand of the high-accuracy and the high-speed positioning. Hereon, the linear DC motor will be chosen as the main body of the whole system. Individually, we design the controller for macro model and micro model. Among them, using the genetic algorithms(GA)to find the near-optimum controller parameters for PID controller to complete the macro target. And adopting the relay-feedback auto-tuning PID controller to carry out the micro region position control. Through the dynamic transition condition, the two-step position control system is integrated. We hope that the positioning results can achieve the position sensor resolution, , in 0.2 second(positioning distance <1.0cm).
     By adopting the principle and operation procedure of the genetic algorithms to make a search for the near-optimum controller parameters, and through the process of selection, reproduction, crossover, and mutation of genes, and then the performance of the closed-loop system with PID controller is improved. According to the computer simulations and the experimental results, it is obvious that the GA-based near-optimal controller can satisfactorily control the linear DC motor system.
    Advisory Committee
  • Yih-Tun Tseng - co-chair
  • Huey-Yang Horng - co-chair
  • Ing-Rong Horng - advisor
  • Files
  • 論文final.pdf
  • indicate access worldwide
    Date of Submission 2000-07-05

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