The design goal is to achieve good reference tracking performance. The plant is a single-input, single-output system in discrete time. Comparative Study between Conventional PID and Fuzzy Logic Controller for a Current Controlled D. In this paper, we control the flow via three method: PID, Fuzzy Logic Controller and PID-Fuzzy. The control action of chemical industries maintaining the controlled variables. I.INTRODUCTION Flow control is critical need in many industrial processes. You can compute the data used in the lookup table using the evalfis command.įor this example, you design a nonlinear fuzzy PID controller for a plant in Simulink. Keywords - Fuzzy Logic Controller, PID Controller, Matlab/ Simulink. For example, you can replace a Fuzzy Logic Controller block in Simulink with a set of Lookup Table blocks, one table for each output defined in the FIS.
You can often approximate nonlinear control surfaces using lookup tables to simplify the generated code and improve execution speed. You can then simulate the designed FIS using the Fuzzy Logic Controller block in Simulink®. Fuzzy Logic Toolbox™ provides commands and apps for designing a FIS for a desired control surface. The speed control of the BLDC motor is studied and simulated in MATLAB/Simulink.The speed control of a BLDC Motor is presented in this paper, using both PI controller, and Fuzzy Logic Controller. The FIS output is the control action inferred from the fuzzy rules, u in the surface plot. For control applications, typical FIS inputs are the error ( e(k)) and change of error ( e(k)-e(k-1)), E and CE respectively in the control surface plot.