Swarm Intelligence Based Fuzzy Controller -- A Design for Nonlinear Water Level Tank
Majid Joshani, Rubiyah Bte Yusof, Marzuki Khalid, Adha Imam Cahyadi · 2012
Fuzzy direct controllers are being used widely in industry these days. One of the benefits of fuzzy controllers is their ability to control unidentified processes which lets a model free controlling scheme; but on the other hand, an efficient fuzzy direct controller design, strictly depends on human expert and knowledge of a certain process. This will limit the ability of noncontrol specialists to apply fuzzy controllers on various ranges of plants. In this paper, a fuzzy direct controller is optimized in rule base using Particle Swarm Optimization algorithm. The optimization is performed subjected to minimize the output error surface of a nonlinear water level tank process. An offline Sugeno-Fuzzy system identifier is employed to prepare the evaluation function for particle swarm algorithm. Results show that the proposed controller performance is much better than simple human knowledge tuned controller.