Implementation of motor speed control using PID control in programmable logic controller

2012 ◽  
Author(s):  
R. E. Samin ◽  
N. A. Azmi ◽  
M. A. Ahmad ◽  
M. R. Ghazali ◽  
M. A. Zawawi
Keyword(s):  
Pid Control ◽  
Speed Control ◽  
Programmable Logic Controller ◽  
Programmable Logic ◽  
Motor Speed

Research and Design of DC Blushless Motor Speed Control System Based on Single Neuron PID Control

2013 ◽  
Vol 347-350 ◽  
pp. 322-326
Author(s):  
Qiao Hong Li ◽  
Fang Hou
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Algorithm ◽  
Single Neuron ◽  
Speed Control ◽  
Motor Speed ◽  
Brushless Dc ◽  
Brushless Motor ◽  
Speed Control System ◽  
Adaptive Pid Control

The speed regulating system of DC blushless motor was mostly studied. This paper is based on a simplified mathematical model of Brushless DC motor which was consisted of the traditional PID and single neurons. In the Simulink environment, it is established by the control algorithm of single neuron adaptive PID brushless DC motor speed control system closed loop simulation model. From simulation results, the single neuron adaptive PID control system of DC brushless motor has excellent dynamic and static performance. Based on the analysis of DC blushless motor speed control system and simulation results of the neural network control algorithm, hardware of the digital control system for DC brushless motor is designed with control center of high performance microcontroller 80C196KC,which is of single neuron adaptive PID control algorithm.

Modeling and Simulation of Parameter Self-Tuning Fuzzy PID Controller for DC Motor Speed Control System

2012 ◽  
Vol 195-196 ◽  
pp. 1003-1007 ◽  
Author(s):  
Chi Xue ◽  
Hui Zhu ◽  
Biao Yu
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Pid Control ◽  
System Analysis ◽  
Speed Control ◽  
Dc Motor ◽  
Motor Speed ◽  
Fuzzy Pid Controller ◽  
Speed Control System ◽  
Self Tuning

The establishment of DC motor system model is an important part of its control system analysis, this paper introduces the traditional method of modeling and the application of parameter self-tuning fuzzy logic PID control in the simulation and experimental research of variable speed control system for DC electric motor. In MATLAB / SMULINK simulation environment, high robustness and precision are obtained. The simulation results show that fuzzy logic PID control strategy has better performances than traditional controllers.

scholarly journals Design and implementation speed control system of DC Motor based on PID control and matlab simulink

2020 ◽  
Vol 11 (1) ◽  
pp. 127
Author(s):  
Salman Jasim Hammoodi ◽  
Kareem Sayegh Flayyih ◽  
Ahmed Refaat Hamad
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Speed Control ◽  
Dc Motor ◽  
Motor Speed ◽  
Matlab Simulink ◽  
Dc Motors ◽  
Electronic Controller

<span>In this paper, we first write a description of the operation of DC motors taking into account which parameters the speed depends on thereof. The PID (Proportional-Integral-Derivative) controllers are then briefly described, and then applied to the motor speed control already described , that is, as an electronic controller (PID), which is often referred to as a DC motor. The closed loop speed control of a Brush DC motor is developed applying the well-known PID control algorithm. The objective of this work is to designed and simulate a new control system to keep the speed of the DC motor constant before variations of the load (disturbances), automatically depending to the PID controller. The system was designed and implementation by using MATLAB/SIMULINK and  DC motor.</span>

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