DC Motor Controller VIA Optimal Path Estimation Method and Genetic Algorithm

• Main Authors: Chang, Chih-Ping, 張智評
• Other Authors: Huang, Tsong-Liang
• Format: Others
• Language: zh-TW
• Published: 1997
• Online Access: http://ndltd.ncl.edu.tw/handle/64617560063184830849

碩士 === 淡江大學 === 電機工程學系 === 85 === Although the traditional time optimal bang-bang control method can be used to determine the shortest rising time of a system, the serious chattering problem makes its application to precise control unsatisfactory. In order to eliminate the chattering problem, and therefore enhance the overall performance of a system, we develope a control system including a fuzzy controller in this paper, which can effectively deal with the chattering phenomenon and as a result make the application to precise control more satisfactorily. Optimal path estimation method (OPEM) will be utilized in order to measure the distance of state trajectory based on the concept of the traditional time optimal bang-bang control method. The measurement will then be used as the input variable to the fuzzy controller. We include the concept of the time optimal bang-bang control method into the controlling roles of the fuzzy controller. In addition, the genetic algorithm will be employed to determine the optimal scaling factors of the input variables.