Fuzzy regulace

Abstract

This bachelor thesis deals with the design, implementation and simulation verification of PID fuzzy controllers. The introductory part of the thesis presents the basic principles of fuzzy logic, its historical development and its advantages over classical control methods, especially in the control of nonlinear and dynamically changing systems. The main focus is on the use of the Fuzzy Logic Toolbox in MATLAB environment, which allows user-friendly design and tuning of fuzzy controllers without the need for an exact mathematical model of the controlled system. In the practical part of the thesis, fuzzy PI controllers are applied to simulation models of integration systems with traffic delays. Their properties are compared with traditional PID controllers. The results show that fuzzy controllers, when appropriately tuned, provide comparable or better control quality even under changed system parameters. Emphasis is also placed on the robustness of the fuzzy control and its ability to adapt without the need for parameter adjustments when the system dynamics change. Finally, the possibilities for further development of this field, including the use of optimization and intelligent algorithms, are suggested, and the potential for practical deployment of fuzzy control in industrial applications is discussed.