Modelling and fuzzy control of DC drive (original) (raw)
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2014
This paper describes a closed loop model of a current controlled PMDC motor drive with two controller FUZZY & PID separately, then comparison of the effect on output parameters for this two different controller is established. The differences between the output speed of PMDC motor & a preset reference speed is fed as an error signal to the controller of the system. The output of the speed controller (actuating signal) controls the duty cycle of converter and hence controls the converter output. Through this controlled converter output, required voltage gets injected into the motor. A small change in the injected voltage can cause a large change in the motor current and hence leading to a particular drive control feature. In the past few years Fuzzy Logic became a very much popular choice of controller for feedback control of various industrial systems. Fuzzy logic control is much closer in spirit to human thinking and logical reasoning than conventional controller like PID or PI. Re...
Performance enhancement of DC motor drive using Fuzzy Logic Controller
This paper demonstrates how the performance of a DC motor drive can be enhanced using a fuzzy logic controller. The performance of the DC motor drive is judged without controller, with a most commonly used controller (Ziegler-Nichols Tuned PID) and fuzzy logic controller (FLC). For the considered system 7 fuzzy rules are framed for FLC. Comparison between the outputs in different scenario was done on the basis of the simulation result obtained by MATLAB. Finally, the result shows that the fuzzy logic approaches using the designed set of fuzzy rules enhance the performance of the DC drive system.
A SIMULATION STUDY OF FUZZY LOGIC CONTROLLER BASED ELECTRIC DRIVE
IAEME Publication, 2020
This paper proposes simulation of fuzzy logic based current controlled nonisolated bidirectional DC - DC converter with DC drive. The converter has operates in continuous current mode and wide conversion ratio. The proposed DC-DC converter topology has switched coupled-inductor and cascaded circuit. The converter has less voltage stress across the switches. The results shows that fuzzy logic based current controller gives fast response and good transient performance compared to PI controller based speed control
Performance Analysis of Fuzzy Logic And PID Controller for PM DC Motor Drive
2013
This paper proposes to control the speed of the permanent magnet (PM) DC motor drive using fuzzy logic control (FLC) based on Matlab simulation environment. The proposed speed controller is developed based on fuzzy logic, to minimize maximum overshoot and steady state error. A comparison study and analysis of proposed fuzzy logic control to classical PID control system applied to PM DC motor is presented. The entire system is modeled and simulated using the matlab simulink tool box. The detailed simulation results confirm the better reduction in maximum overshoot and steady state error by the proposed FLC than the classical PID controller.
2010
This paper presents a comparative study of various controllers for the speed control of DC motor. The most commonly used controller for the speed control of dc motor is ProportionalIntegral (P-I) controller. However, the P-I controller has some disadvantages such as: the high starting overshoot, sensitivity to controller gains and sluggish response due to sudden disturbance. So, the relatively new Integral-Proportional (I-P) controller is proposed to overcome the disadvantages of the P-I controller. Further, two Fuzzy logic based controllers namely; Fuzzy control and Neuro-fuzzy control are proposed and the performance these controllers are compared with both P-I and I-P controllers. Simulation results are presented and analyzed for all the controllers. It is observed that fuzzy logic based controllers give better responses than the traditional P-I as well as I-P controller for the speed control of dc motor drives. Keywords—Proportional-Integral (P-I) controller, IntegralProportiona...
Neuro-Fuzzy Controller Design for a Dc Motor Drive
This paper presents a neuro-fuzzy controller design for speed control of DC motor. The most commonly used controller for the speed control of dc motor is the conventional Proportional -Integral-Derivative (PID) controller. The PID controller has some disadvantages like: high overshoot, sensitivity to controller gains and slow response. Fuzzy control and neuro-fuzzy control are proposed in this study. The performances of the two controllers are compared with PID controller performance. In this paper, neural networks are used in a novel way to solve the problem of tuning a fuzzy logic controller. The neuro fuzzy controller uses neural network learning techniques to tune membership functions. For the speed control of dc motor drives, it is observed that neuro -fuzzy controller gives a better response compared to other controllers.