2017•2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC)Requires access
A modified PID control with adaptive fuzzy controller applied to DC motor
Kartik Sharma, Dheeraj Kumar Palwalia
Open publisher page 61 citations
Abstract
This paper represents a modified PID control using adaptive fuzzy controller. A critique of performance of conventional PID and Adaptive fuzzy logic tuned PID controller applied to DC motor is provided. A fuzzy logic controller (FLC) is evolved for tuning the three terms of PID controller automatically as per the fuzzy rules. The adaptive FLC produces correction values for conventional PID controller, that are varying online with the system output. The complete system consisting of adaptive fuzzy PID controller along with DC motor model is simulated using MATLAB/Simulink. A comparison of conventional PID with adaptive fuzzy PID controller is demonstrated for reference speed tracking and load disturbance. The results show that, the adaptive fuzzy tuned PID controller provides better dynamic behavior of DC motor with low rise time, low settling time, minimum overshoot and low steady-state error in speed and thus provides superior performance.