Abstract
Background/Objectives: PID controllers are widely used in different industrial appliations especially in achieving stable speed control of DC motors. Hower, due to their limitations, most often other methods like Sliding Mode controller, or fuzzy based controller are used. Since the Fuzzy controlers are more adaptive to non-linearity. This study is to analyse a fuzzy-based speed control scheme for tuning/adusting the performance of PID controller for the purpose of speed control of DC motor under the load condition. Methods/Statistical Analysis: Because of low precision and slow response in different control schemes, a performance comparison is shown between three different control approaches for the DC motor speed control. MATLAB’s Simulink platform is used to realize DC Motor and to implement the PID, Fuzzy and Fuzzy-based PID controllers to run the DC motor on the desired speed. Fuzzy controller is based on very few rule & performance is analyzed considering the load. Findings: The performance of three controllers is evaluated in terms of transient domain characteristics like Percentage overshoot, settling and rise times and percentage error under load (2000 rpm). The PID controller has the highest overshoot and hence a faster rise time while FLC has significantly reduced the overshoot, therefore causing rise time to increase. For the Fuzzy-PID controller the percentage overshoot has almost vanished. The rise time also decreased as compared to the FLC. The simulated controller’s responses confirm that Fuzzy-based PID controller has better performance comparing to independent PID and FLC controllers. Novel/Applications: In this work, the design of an intelligent Fuzzy-PID controller for the speed control of the DC motor with reduced complexity and a faster response using with minimum number of Fuzzy rules producing more optimized performance is presented. The design of a control strategy that has capability to control nonlinear behaviors and to stabilize the performance of linear systems specially to provide optimized performance for speed tracking system which is an important aspect in real time system design. Keywords: PMDC motor; PID Controller; fuzzy controller; fuzzy-based PID controller; transient response
Highlights
PMDC (Permanent Magnet Direct Current) motors have been widely employed since years in a vast range of applications because of their constant torque characteristic [1]
The Simulation results noticeably show that FuzzyPID controller has proven to be a better control scheme than PID and Fuzzy control strategies with optimized performance parameters for PMDC series motor speed control time are minimum
The performance of three different controllers for the application of speed control of DC motor to be used as an engine starter under varying load has been presented
Summary
PMDC (Permanent Magnet Direct Current) motors have been widely employed since years in a vast range of applications because of their constant torque characteristic [1]. FLC has an advantage over conventional PID controller that it can perform nonlinear control actions [9,10]. It consists of linguistics terms and IF- type of rules that define a certain control action. It has a faster response and minimum error value compared to conventional PID controller. Many schemes are developed using fuzzy controllers for the Speed control of DC motors[18,19,20,21,22,23,24,25] In this work, these three types of controllers i.e. PID, Fuzzy and Fuzzy-PID controllers are separately used to control the speed of DC motor to compare the transient and steady state performance of each controllers. The transient performance (i.e. maximum overshoot, rise time, settling time) and the steady-state error are compared with each controller
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