scholarly journals Fuzzy-PID based control scheme for PMDC series motor speed control

2020 ◽  
Vol 13 (28) ◽  
pp. 2911-2923
Author(s):  
Muhammad Khan Kaloi ◽  
Keyword(s):  
Speed Control ◽  
Fuzzy Pid ◽  
Motor Speed ◽  
Control Scheme

AN ULTRASONIC MOTOR SPEED CONTROL SCHEME BASED ON NEURAL NETWORKS AND ITERATIVE CONTROLLER

2004 ◽  
Vol 01 (03) ◽  
pp. 457-470
Author(s):  
X. H. SHI ◽  
Y. C. LIANG ◽  
X. XU
Keyword(s):  
Neural Networks ◽  
Adaptive Learning ◽  
Speed Control ◽  
Ultrasonic Motor ◽  
Random Disturbance ◽  
Motor Speed ◽  
Neural Network Controller ◽  
Learning Rates ◽  
Network Controller ◽  
Control Scheme

An ultrasonic motor speed control scheme is presented in this paper based on neural networks and iterative controller. Suitable ranges of the adaptive learning rates of neural network controller are presented through the theoretical analysis on the proposed model, which could guarantee its stability. The convergence of iterative controller is also discussed. Numerical results show that the control scheme is effective for various kinds of reference speeds of ultrasonic motors. Comparisons with the existing method show that the precision of control could be increased using the proposed method. Simulations also show that the proposed scheme is fairly robust against random disturbance to the control variables.

Design and Simulation of Fuzzy-PID DC Governor System Based on Mine Hoist

2013 ◽  
Vol 341-342 ◽  
pp. 834-838
Author(s):  
Yan Xiang Wu ◽  
Chao Jun Zhang ◽  
Hai Bo Huo ◽  
Chao Qun Zhou
Keyword(s):  
Control System ◽  
Pid Control ◽  
Closed Loop ◽  
Speed Control ◽  
Fuzzy Pid ◽  
Matlab Simulink ◽  
Control Scheme ◽  
Speed Control System ◽  
Mine Hoist

According to the requirement of smooth operation and accurate positioning for DC speed regulating system of mine hoist, a new speed control system that based on double closed-loop of Fuzzy-PID was designed. The best control scheme for mine hoist was also validated by simulation comparison with conventional PID control system in the MATLAB/Simulink. The result showed that the proposal was feasible and had practical value.

Variable Speed Control Using Fuzzy-PID Controller for Two-phase Hybrid Stepping Motor in Robotic Grinding

2016 ◽  
Vol 3 (1) ◽  
pp. 102
Author(s):  
Adnan Jabbar Attiya ◽  
Salam Waley Shneen ◽  
Basma Abdullah Abbas ◽  
Yang Wenyu
Keyword(s):  
Pid Controller ◽  
Speed Control ◽  
Stepping Motor ◽  
Fuzzy Pid ◽  
Motor Speed ◽  
Two Phase ◽  
Fuzzy Pid Controller ◽  
Robotic Grinding ◽  
Hybrid Stepping Motor ◽  
Grinding Tool

In a robotic grinding process, a light-weight grinder is held by an intelligible robot arm. Material removal is carried out by the rotating grinding tool while the end effector of robot guarantees that the tool follows a programmed path in order to work on complex curved surfaces. Grinding tool is driven by Two-Phase Hybrid Stepping motor derive. This work aims to develop a controller based on fuzzy logic to improve the speed control performance of Two-Phase Hybrid Stepping motor derive in order to achieve a controller that provides grinding with higher quality. The analysis and design of PID-Fuzzy controller to improve the response of the motor speed were studied. This paper simulates six motor speed input conditions. The simullink package of the MATLAB. Comparison between the conventional PID controller and Fuzzy-PID output was done on the basis of the simulation result obtained by MATLAB. The simulation results demonstrate that the designed Fuzzy-PID controller realize a good dynamic behavior of the Two-Phase Hybrid Stepping motor, a perfect speed tracking with less rise and settling time, minimum overshoot, minimum steady state error and give better performance compared to conventional PID controller.

Brushless DC Motor Speed Control System Based on Fuzzy PID Control

2014 ◽  
Vol 989-994 ◽  
pp. 3172-3176
Author(s):  
Yi Hui Zhang ◽  
Le Peng Song
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Method ◽  
Speed Control ◽  
Dc Motor ◽  
Fuzzy Pid ◽  
Motor Speed ◽  
Fuzzy Pid Control ◽  
Brushless Dc ◽  
Speed Control System

Brushless DC mo tor speed control system is a multivariate, strong coupling, non linear, time-varying complex system, but adopting traditional PID control method to carry ou t control is difficult to achieve good control effect A kind of PID controller with fuzzy algorithm setting on-line PID parameters automatically was designed and applied in brush less DC motor speed control system, using the voltage , speed and torque equation of brush less DC motor, according to the parameters of the mo tor, the controler adopts fuzzy theory to adjust the PID parameters, in order to obtain high-precision speed control Results of simulation experiment show that the fuzzy PID control method compared with normal PID control is with better control performance, non overshoot quick velocity response, higher control precision and good rubustness, which is insensitive to the parameter chattering and many disturbances.

Fuzzy Self-Tuning PID Controller in SEHS

2012 ◽  
Vol 214 ◽  
pp. 765-770
Author(s):  
Lan Sun
Keyword(s):  
Pid Controller ◽  
Fuzzy Controller ◽  
Fuzzy Pid ◽  
Motor Speed ◽  
Fuzzy Pid Controller ◽  
Control Scheme ◽  
Hydraulic Servo ◽  
Self Tuning ◽  
Hybrid Fuzzy Pid ◽  
Better Than

Because of the existing hybrid fuzzy PID controller does not perform, using electric hydraulic servo system application (SEHS). Therefore, when the system parameters change will require a new adjustment of PID controller variable. Therefore, a hybrid fuzzy and fuzzy self-tuning PID control was put forward. With this control scheme was divided into two parts, and the fuzzy controller and fuzzy self-tuning PID controller. Fuzzy controller is used to control the output of the system of the values of the system away from target value. We proved that the performance of the control scheme through the experiment of the motor speed control SEHS. The experimental results show that the proposed a hybrid fuzzy PID controller and fuzzy self-tuning effect is better than that of a hybrid fuzzy and PID controller.

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