Remote Fuzzy Control in DC Motor Speed

• Main Authors: Ke-Chin Yang, 楊克勤
• Other Authors: Jiu-Hong Honrng
• Format: Others
• Language: zh-TW
• Published: 2001
• Online Access: http://ndltd.ncl.edu.tw/handle/49051352679318697856

碩士 === 國立海洋大學 === 機械與輪機工程學系 === 89 === This paper presents a remotely fuzzy control in DC motor speed monitoring system with LabVIEW and Matlab. We use fuzzy controller to adjust parameters, in order to get the optimal speed response. First, the membership functions are defined according to motor dynamic mode, and use Matlab to construct fuzzy controller. Using Fuzzy PID system and Linear Fuzzy Controller (training by Adaptive Network-base Fuzzy Inference System, ANFIS) respectively construct the controller of the monitoring system. The difference of the two controllers at the speed response is discussed to compare. Tracking of Fuzzy PID controller is faster, but there is still some steady error. Tracking of Linear Fuzzy Controller is slower, but output response is more correct. And designer don’t have to adjust gains or parameters of system in Linear Fuzzy Controller training by Adaptive Network-base Fuzzy Inference System. A friendly Man-Machine Interface (MMI) is provided to make the operation more convenient and easier to use. The proposed scheme simplifies the design procedure and complexity of the fuzzy controller. Otherwise, RS-232 is used as an interface of DC motor speed monitoring system.