Study of Self-Tuning Fuzzy Control with application of servo DC motor control

碩士 === 中華技術學院 === 機電光工程研究所碩士班 === 95 === In this thesis, a self-tuning fuzzy controller is proposed to improve system stability such as reducing overshoot, undershoot and settling time (but not at the cost of increasing rising time). By using the characteristics of hyperbolic tangent function, the s...

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Bibliographic Details
Main Authors: Kao Jyun-Chihi, 高鈞祉
Other Authors: Lee Wei-Ming
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/00920295681991087602
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Summary:碩士 === 中華技術學院 === 機電光工程研究所碩士班 === 95 === In this thesis, a self-tuning fuzzy controller is proposed to improve system stability such as reducing overshoot, undershoot and settling time (but not at the cost of increasing rising time). By using the characteristics of hyperbolic tangent function, the self-tuning mechanism is constructed which adjusted the output scaling factor according to the current trend of the controlled process. The self-tuning mechanism has tuning parameters with physical meaning and is easily used to design the fuzzy controller. Performances of the proposed self-tuning fuzzy controller are compared with those of the corresponding conventional fuzzy controller through the computer simulation and real time speed control of servo DC motor. It is demonstrated that the proposed self-tuning fuzzy controller can successively reduce the overshoot and undershoot and improve the system stability. Keywords : Self-tuning Fuzzy control,scaling factor,motor control