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It is concluded that a PID controller is successful tool for controlling the motor speed in presence of load disturbances.Ī. However, the motor speed is hunting about 200 rpm (6.66%) in 900 milliseconds on unloading condition.
#DC MOTOR SPEED CONTROL USING PID CONTROLLER MATLAB SIMULINK FULL#
The Simulink results show that the speed of the motor is slow down only for about 270 rpm (9%) in 980 milliseconds under the effect of full load. The simulation result of the experiment shows that a motor is running approximately at a constant speed regardless of a motor load. The motor speed is kept constant in this experiment. A Matlab simulation of proposed system with no-Load and full-load condition is performed on Simulink platform to observe the system response. The linear system model of separately excited DC motor with Torque-variation is designed using PID controller.
This paper presents a DC motor speed controlling technique under varying load condition. 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.DC motors are used extensively in industrial variable speed applications because of most demanding speed-torque characteristics and are simple in controlling aspects. 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 simulated controller’s responses confirm that Fuzzy-based PID controller has better performance comparing to independent PID and FLC controllers. The rise time also decreased as compared to the FLC. For the Fuzzy-PID controller the percentage overshoot has almost vanished.
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. 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). Fuzzy controller is based on very few rule & performance is analyzed considering the load. 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. 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. 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. Since the Fuzzy controlers are more adaptive to non-linearity. Hower, due to their limitations, most often other methods like Sliding Mode controller, or fuzzy based controller are used. Abstract Background/Objectives: PID controllers are widely used in different industrial appliations especially in achieving stable speed control of DC motors.
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