scholarly journals Self-tuning PID Control of Induction Motor Speed Control System Based on Diagonal Recurrent Neural Network

2015 ◽  
Vol 8 (10) ◽  
pp. 321-334 ◽  
Author(s):  
Chong Chen
Keyword(s):  
Neural Network ◽  
Control System ◽  
Induction Motor ◽  
Recurrent Neural Network ◽  
Pid Control ◽  
Speed Control ◽  
Motor Speed ◽  
Speed Control System ◽  
Self Tuning

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.

The Research of Induction Motor Vector Control System Based on Fuzzy Self-Adaptive Pi Complex Control Algorithm

2012 ◽  
Vol 260-261 ◽  
pp. 348-352
Author(s):  
Wei Wang ◽  
Xia Sun ◽  
Bao Yin Li
Keyword(s):  
Control System ◽  
Induction Motor ◽  
Pid Control ◽  
Fuzzy Controller ◽  
Dynamic Performance ◽  
Speed Control ◽  
Motor Speed ◽  
Adaptive Property ◽  
Speed Control System ◽  
Self Adaptive

According to disadvantages that traditional PID control is difficult to adjust PID parameter for nonlinear and time-variant induction motor speed control system, this paper designs fuzzy self-adaptive PI speed control system with Double Closed-Loop Fuzzy Controller by combining fuzzy control and PID control. The MATLAB simulation results show that this controller has better stability and self-adaptive property and well improved the dynamic performance of the system compared with conational controller.

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.

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.

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