Design on Fuzzy Controller of DC Motors Speed Control Based on DSP

Aiming at the problems of nonlinearity, time-variant parameters, and uncertainty of system mathematical model in the PID regulator of DC motor control, a fuzzy controller of DC motor speed control based on TMS320LF2407A is designed in this paper, using the fuzzy control strategy to control, and its design procedure is described. The experimental results show that the speed control system of DC motor by using DSP controller and fuzzy control algorithms has a fast response, slight overshot and good stability, and improves the control effect.

Download Full-text

Brushless DC Motor Speed Control using PID Controller, Fuzzy Controller, and Neuro Fuzzy Controller

International Journal of Computer Applications ◽

10.5120/ijca2018916783 ◽

2018 ◽

Vol 180 (30) ◽

pp. 47-52 ◽

Cited By ~ 2

Author(s):

Ahmed K. ◽

Mohammed S. ◽

Mohamed S. ◽

Fayez F.

Keyword(s):

Pid Controller ◽

Fuzzy Controller ◽

Speed Control ◽

Dc Motor ◽

Brushless Dc Motor ◽

Motor Speed ◽

Brushless Dc ◽

Neuro Fuzzy

Download Full-text

Implementing optimization of PID controller for DC motor speed control

Indonesian Journal of Electrical Engineering and Computer Science ◽

10.11591/ijeecs.v23.i2.pp657-664 ◽

2021 ◽

Vol 23 (2) ◽

pp. 657

Author(s):

Yasir G. Rashid ◽

Ahmed Mohammed Abdul Hussain

Keyword(s):

Genetic Algorithm ◽

Pid Controller ◽

Optimization Technique ◽

Speed Control ◽

Optimization Method ◽

Dc Motor ◽

Motor Speed ◽

Tuning Method ◽

Pid Tuning ◽

Dc Motor Control

The point of this paper presents an optimization technique which is flexible and quick tuning by using a genetic algorithm (GA) to obtain the optimum proportional-integral-derivative (PID) parameters for speed control of aseparately excited DC motor as a benchmark for performance analysis. The optimization method is used for searching for the proper value of PID parameters. The speed controller of DC motor using PID tuning method sincludes three types: MATALB PID tunner app., modified Ziegler-Nicholsmethod and genetic algorithm (GA). PID controller parameters (Kp, Ki and Kd) will be obtained by GA to produce optimal performance for the DC motor control system. Simulation results indicate that the tuning method of PID by using a genetic algorithm is shown to create the finest result in system performance such as settling time, rise time, percentage of overshoot and steady state error. The MATLAB/Simulink software is used to model and simulate the proposed DC motor controller system.

Download Full-text

PERFORMANCE IMPROVEMENTS OF SEPARATELY EXCITED DC MOTOR USING FUZZY LOGIC CONTROL

International Journal of Engineering Technologies and Management Research ◽

10.29121/ijetmr.v6.i2.2019.355 ◽

2020 ◽

Vol 6 (2) ◽

pp. 47-58

Author(s):

R. Nagarajan ◽

M. Gokulkannan ◽

T. Dinesh ◽

S. Murugesan ◽

M. Naveenprasanth

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Controller ◽

Fuzzy Controller ◽

Expert Knowledge ◽

Speed Control ◽

Dc Motor ◽

Fuzzy Rules ◽

Motor Speed ◽

Performance Improvements ◽

Speed Performance

This paper demonstrates the importance of a fuzzy logic controller over conventional method. The performance of the separately excited DC motor is analyzed by using fuzzy logic controller (FLC) in MATLAB/SIMULINK environment. The FLC speed controller is designed based on the expert knowledge of the fuzzy rules system. The proposed DC motor speed control fuzzy rules are designed for fuzzy logic controller. The output response of the system is obtained by using fuzzy logic controller. The designed fuzzy controller for speed control performance is investigated. Significantly reducing the overshoot and shortening the settling time of the speed response of the motor. They validate different control of approaches, the simulation results show improvement in motor efficiency and speed performance.

Download Full-text

Design and Implementation of Fuzzy Logic system for DC motor Speed Control

Iraqi Journal for Electrical And Electronic Engineering ◽

10.37917/ijeee.6.2.7 ◽

2010 ◽

Vol 6 (2) ◽

pp. 123-130

Author(s):

Maan Shaker ◽

Yaareb Al-khashab

Keyword(s):

Fuzzy Logic ◽

Fuzzy Control ◽

Fuzzy Logic Controller ◽

Control Process ◽

Speed Control ◽

Electronic System ◽

Dc Motor ◽

Control Panel ◽

Main Task ◽

Motor Speed

In this paper an integrated electronic system has been designed, constructed and tested. The system utilizes an interface card through the parallel port in addition to some auxiliary circuits to perform fuzzy control operations for DC motor speed control with load and no load. Software is written using (C++ language Ver. 3.1) to display the image as control panel for different types of both conventional and fuzzy control. The main task of the software is to simulate: first, how to find out the correct parameters for fuzzy logic controller (membership’s function, rules and scaling factor). Second, how to evaluate the gain factors (KP, KI and KD) by Ziegler-Nichols method. When executing any type of control process the efficiency is estimated by drawing the relative speed response for this control.

Download Full-text

Application of Kalman Filter in DC Motor Speed Control System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.150.129 ◽

2012 ◽

Vol 150 ◽

pp. 129-132 ◽

Cited By ~ 1

Author(s):

Zhong Qiao Zheng ◽

Yan Hong Zhang ◽

Jian Sheng Zhang

Keyword(s):

Kalman Filter ◽

Control System ◽

Pid Controller ◽

Speed Control ◽

Dc Motor ◽

Motor Speed ◽

Control Effect ◽

Noise Interference ◽

Response Characteristics ◽

Speed Control System

PID controller is widely used in industry field, but when the industry presence exists noise interference, it is difficult for the conventional PID controller to achieve the expected control effect, in view of this situation, the method of combinating Kalman filter with the PID control is studied in this paper, the DC motor speed control system is simulated, the results shows that the PID controller based on Kalman filter is better to inhibit the effect of white noise, and it has a good dynamic response characteristics.

Download Full-text