Passivity-Based Control of Motor for Reaction Wheel

2014 ◽  
Vol 989-994 ◽  
pp. 2865-2868
Author(s):  
Ren Long Yu ◽  
Jing Jin
Keyword(s):  
Control Method ◽  
Buck Converter ◽  
Motor Speed ◽  
Tracking Accuracy ◽  
Reaction Wheel ◽  
Brushless Dc ◽  
Model Combining ◽  
Passivity Based Control ◽  
Permanent Magnet Brushless Dc ◽  
Speed Mode

To achieve high-precision tracking control of motor speed for magnetically suspended reaction wheel, mathematical model combining BUCK converter with permanent magnet brushless DC motor system is established, and a MSRFW speed mode Passivity-based control method is presented. A passivity-based controller of speed tracking is designed in order to enhance the speed of tracking performance. Experiments on MSRW platform show that passivity-based control method can improve the speed of the dynamic response and tracking accuracy, from which the validity is verified.

Research on Brushless DC Motor Speed Control System Based on Passivity-Based Control

2011 ◽  
Vol 301-303 ◽  
pp. 1501-1506
Author(s):  
Shuang Zhai ◽  
Deng Hua Li ◽  
Xi Bao Wu ◽  
Cheng Zhe Li
Keyword(s):  
Control Method ◽  
Dc Motor ◽  
Pi Controller ◽  
Brushless Dc Motor ◽  
Response Property ◽  
Control Technology ◽  
Motor Speed ◽  
Brushless Dc ◽  
Passivity Based Control ◽  
Coupling Characteristics

Because the nonlinear and strong coupling characteristics of brushless DC motor, the classical PI controller can not control it easily. In order to solve the control problem of brushless DC motor, an improved control method is proposed which based on passivity-based control technology. According to a model of brushless DC motor (BLDCM) that based on Euler －Lagrange (EL) equation, designed a passivity-based controller. The simulation result shows that，compared with the PI controller，this method can not only improve the dynamic response property and anti-jamming ability of the system, but also get a better speed-adjustability.

scholarly journals Design and Simulation of Adaptive PID Controller Based on Fuzzy Q-Learning Algorithm for a BLDC Motor

2020 ◽  
Author(s):  
Reza Rouhi Ardeshiri ◽  
Nabi Nabiyev ◽  
Shahab S. Band ◽  
Amir Mosavi
Keyword(s):  
Reinforcement Learning ◽  
Pid Controller ◽  
Control Method ◽  
Learning Algorithm ◽  
Bldc Motor ◽  
Motor Speed ◽  
Q Learning ◽  
Brushless Dc ◽  
Intelligent Control Systems ◽  
And Control

Reinforcement learning (RL) is an extensively applied control method for the purpose of designing intelligent control systems to achieve high accuracy as well as better performance. In the present article, the PID controller is considered as the main control strategy for brushless DC (BLDC) motor speed control. For better performance, the fuzzy Q-learning (FQL) method as a reinforcement learning approach is proposed to adjust the PID coefficients. A comparison with the adaptive PID (APID) controller is also performed for the superiority of the proposed method, and the findings demonstrate the reduction of the error of the proposed method and elimination of the overshoot for controlling the motor speed. MATLAB/SIMULINK has been used for modeling, simulation, and control design of the BLDC motor.

A Study on Overlapping Commutation Time in Permanent Magnet Brushless DC Motor

2011 ◽  
Vol 143-144 ◽  
pp. 114-118
Author(s):  
Shu Hong Wang ◽  
Pan Wu ◽  
Li Mei Wang
Keyword(s):  
Permanent Magnet ◽  
Control Method ◽  
Model Simulation ◽  
Torque Ripple ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Brushless Dc ◽  
Simulation Results ◽  
Permanent Magnet Brushless Dc ◽  
Commutation Torque Ripple

To determine the control method using overlapping commutation overlap time, this article on the four-phase permanent magnet brushless DC motor torque ripple based on the analysis of the use of overlapping commutation torque ripple suppression in the overlap time were derived by Ansoft software calculated four-phase permanent magnet brushless DC motor parameters, using MATLAB/Simulink software and simulate the model, simulation results were derived.

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.

scholarly journals Soft Computing Technique of Bridgeless SEPIC Converter for PMBLDC Motor Drive

2018 ◽  
Vol 9 (4) ◽  
pp. 1503
Author(s):  
Meena Devi R. ◽  
L. Premalatha
Keyword(s):  
Control Method ◽  
Motor Drive ◽  
Bldc Motor ◽  
Motor Speed ◽  
Computing Technique ◽  
Brushless Dc ◽  
Speed Controller ◽  
Three Phase ◽  
Soft Computing Technique ◽  
Conduction Mode

A novel speed controller for the three-phase Brushless DC (BLDC) Motor Drive is proposed using a closed-loop AC-DC Bridgeless SEPIC Converter in continuous Conduction mode. This design proposes a single stage AC-DC converter with ON and OFF state equivalent circuits for 400W, 48V at 2450 rpm PMBLDC motor drive. The Fuzzy based voltage and current controlling method is proposed in this design. The voltage controlling method is used to control the speed for BLDC motor and the current controlling method is used to improve the power factor in AC supply. The speed of BLDC motor is observed with voltage disturbance and the constant motor speed is maintained. The proposed control method on SEPIC converter fed PMBLDC motor drive is modeled by Simulink/Matlab.

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