Abstract:
This project tries to explore the potential of using fuzzy logic
methodology in controllers and its advantages over conventional PID
controller, which it being the most widely used controller in industrial
applications, needs efficient methods to enhance DC motor parameters.
This thesis asserts that the conventional approach of PID tuning is
not very efficient due to the presence of non-linearity in the system
where the output of the conventional. PID system has a quite high
overshoot and settling time.
The main focus of this project is to apply fuzzy logic techniques
to get an output with better dynamic and static performance.
The project also discusses the benefits and the
short-comings of both the methods. The results obtained from
simulation using MATLAB Simulink for fuzzy logic and PID control show
that overshoot reduced (88.89%) and settling time reduction was
(75.89%) and peak time was (3.22%). On the other hand the rise time
became higher than in PID (44.40%).