Study and Application of an Improved Genetic Fuzzy Adaptive Smith-PID Controller

• Main Authors: Yau-Lang Tsai, 蔡耀郎
• Other Authors: Sheng-Chun Hsu
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/45625143012875635959

碩士 === 國立臺灣科技大學 === 自動化及控制研究所 === 102 === In real industrial control systems, there exist time-delay characteris-tics in the liquid level control. Such time-delay phenomena will result in the bad performance in the industrial control systems. Therefore, in this study we propose a class of improved genetic fuzzy Smith-PID control-lers to conquer this problem. By using Smith-type predictor controllers, it can effectively control time-delay systems. By using adaptive fuzzy con-trollers, it can faster achieve the control objects and improve the over-shoot drawback in the output curve. Moreover, using Genetic Algorithm and Improved Genetic Algorithm, one can fine-tune the fuzzy member-ship and rule functions. Finally, we apply the proposed controller to a class of three tank water level control systems. Simulation results show that the proposed methods can achieve good performance.