Weighted Fuzzy-PID Controllers

• Main Authors: Chien-Shiung Chao, 趙建雄
• Other Authors: Yau-Tarng Juang
• Format: Others
• Language: en_US
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/59758698469808879581

碩士 === 國立中央大學 === 電機工程研究所 === 92 === This thesis investigates the technique of the weighted fuzzy-PID controllers by means of genetic algorithms. First, we propose a weighted function to tune the weights of the system error into the fuzzy controller. Then, output of the fuzzy controller is transmitted into a PID controller to control plant. The controllers can stabilize a process with a minimal amount of prior knowledge and improve rise time, settling time and overshoot effectively. Some illustrative examples demonstrate that satisfactory performance is achieved. By means of genetic algorithms, the parameters of the aforementioned controllers are determined to have a better performance. These experiment results show technique’s power and its advantages: (1) Systematic search. (2) This technique can save much more time and effort than that of conventional trial-and-error design method. (3) This technique does not need extra professional knowledge or mathematical analysis about system dynamics. (4) The performance specifications can be achieved by means of designing a proper fitness function.