Fuzzy-Pso Approach for Controllin Nonlinear Systems - Real Time Application
A.B. Pati, Viplove Wahane, Rajan Hari Chile · Michael Faraday IET International Summit 2015 · 2015
Nonlinear problems are very common in many industrial applications. For controlling such systems there are several conventional type of controllers intended , such as manual controller, P, PI, PID, and fuzzy controllers. In recent decade new family of intelligent controllers has been evolved because of vary complicated systems and due to requirement of accuracy in the process. The paper consists of Takagi-Sugeno (T-S) fuzzy controller designed for nonlinear system with time delay and optimized fuzzy controller in which particle swarm optimization is used to optimize the fuzzy rules. Here in this paper the CSTR model is considered to design a fuzzy controller. At the end, simulation results are given to show the effectiveness of system with optimized fuzzy controller.