Real Time Implementation of Fuzzy Based PID Controller Tuning for Continuous Stirred Tank Heater (CSTH) Process

Abstract

The controlling of temperature was carried out by Proportional Integral Derivative (PID) controller. It may not provide an exact outcome long history of its practical use. With a specific end goal to get precise and successful response, intelligence is included into the system by utilizing Fuzzy Logic Controller (FLC). FLC which helps in keeping up the temperature in a CSTH process has been created and applied to different fields. However, FLC can't adjust for extensive variety of workplaces and furthermore there is no deliberate strategy to outline the Membership Function (MFs) for information sources and yields of a fuzzy framework. So FLC algorithm is utilized to change the controller parameters consequently amid task procedure of a system and controller is utilized to reduce the error. This method is applied in a Continuous Stirred tank Heater (CSTH) process. The real time CSTH plant is interface with LabVIEW with NI data acquisition card real time results demonstrate that FLC strategy is viable for utilizing temperature control with minimum Integral Square Error (ISE), minimum rise time, minimum peak over shoot and minimum settling time.