• ERIC MULERA ABWOTO
• P. Rajesh Kumar

Conventional PID Control System has been used in the past and still today it is adequate for many industrial applications for controlling purposes. However, with a highly nonlinear plant, a time varying plant, or which has a large time delay, this controller has performed quite poorly. In this study, a kind of fuzzy self-adaptive PID controller is used. From past experiments, results have shown that the fuzzy self-adaptive PID has the strong anti-jamming, flexibility and adaptability as well as the higher control precision in speed controlling system. Using the fuzzy and simulink tools in MATLAB simulation software, we shall implement the fuzzy self-adaptive PID. A PID controller is an instrument used in industrial control applications to regulate temperature, flow, pressure, speed and other process variables. PID (proportional integral derivative) controllers use a control loop feedback mechanism to control process variables and are the most accurate and stable controllers. This has been for long the only and handy controller for control engineers. It however did not produce satisfactory results for some applications. Through extensive research, other controllers have been developed and approved for use and some are still under test. Fuzzy Logic Controller is one, already being used and has shown better results for nonlinear applications. Fuzzy logic controllers are based on fuzzy sets, that is, classes of objects in which the transition from membership to non-membership is smooth rather than abrupt. A merge of these two to form a Fuzzy-based PID controller has even shown excellent results due to the balance of the existing trade-offs between them. The main target I have is to implement the controllers in the software and to show the comparison of the results of the system using specifically triangular and gaussian membership functions. This way, we shall be able to discuss the results and make informed conclusions on when, where, and how to use these controllers best. For future research in this area, issues such as changes in dynamic loads should be put in to consideration to ensure that the model is implementable in real life situation.

Fuzzy logic, Fuzzy-PID, Membership Functions, Overshoot, Rise time

"INVESTIGATING THE EFFECT OF DIFFERENT SHAPES OF MEMBERSHIP FUNCTIONS IN FUZZY LOGIC USING FUZZY-PID CONTROLLED DC MOTOR ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.f88-f96, August-2022, Available :http://www.jetir.org/papers/JETIR2208513.pdf

"INVESTIGATING THE EFFECT OF DIFFERENT SHAPES OF MEMBERSHIP FUNCTIONS IN FUZZY LOGIC USING FUZZY-PID CONTROLLED DC MOTOR ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppf88-f96, August-2022, Available at : http://www.jetir.org/papers/JETIR2208513.pdf