Optimization Design of Permanent-Magnetism Brushless DC Motor Governing System Based on Artificial Fish Swarm Algorithm

2012 ◽  
Vol 546-547 ◽  
pp. 278-283
Author(s):  
Jun Lin Zhu ◽  
Hui Liu ◽  
Zhi Bin Ren
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Fitness Function ◽  
Dc Motor ◽  
System Response ◽  
Brushless Dc Motor ◽  
Artificial Fish Swarm Algorithm ◽  
Brushless Dc ◽  
Artificial Fish Swarm ◽  
Swarm Algorithm

The optimal design approach of the PID controller was proposed in this paper, based on Artificial Fish Swarm Algorithm (AFSA) for the matter of the optimization of the brushless DC motor controller. In the experiment, through the analysis of the basic principles of artificial fish swarm algorithm, appropriate performance index was selected as fitness function, specific design procedures were given to optimize parameters of PID controller, The experimental results indicate that: Artificial Fish Swarm Algorithm optimized PID controller enables the brushless DC motor speed control system response faster, small overshoot, effectively improve the dynamic performance of a brushless DC motor control system.

Design and Implementation of Fuzzy PID Controller for Brushless DC Motor Control System

2013 ◽  
Vol 432 ◽  
pp. 472-477
Author(s):  
Wei Fan ◽  
Tao Chen
Keyword(s):  
Control System ◽  
Digital Signal Processor ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Digital Signal ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Fuzzy Pid ◽  
Brushless Dc ◽  
Fuzzy Pid Controller

This paper presents a robust fuzzy proportional-integral-derivative (PID) controller for brushless DC motor (BLDCM) control system. The hardware circuit of the BLDCM control system is designed and implemented using a digital signal processor (DSP) TMS320LF2407A and a monolithic BLDCM controller MC33035 as the core. Furthermore, a fuzzy PID controller, which combines the advantages of good robustness of fuzzy controller and high precision of conventional PID controller, is employed in the hardware system, thereby yielding a digital, intelligent BLDCM control system. Experimental results have shown that the control system can run steadily and control accurately, and have convincingly demonstrated the usefulness of the proposed fuzzy PID controller in BLDCM control system.

Design of Adaptive Controller of Brushless DC Motor Based on Fuzzy Genetic Algorithm

2014 ◽  
Vol 644-650 ◽  
pp. 179-183
Author(s):  
Ya Juan Chen ◽  
Yue Hong Zhang
Keyword(s):  
Genetic Algorithm ◽  
Control System ◽  
Pid Controller ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Fuzzy Pid ◽  
Adaptive Fuzzy ◽  
Brushless Dc ◽  
Fuzzy Pid Controller ◽  
Fuzzy Genetic

In this paper, an adaptive fuzzy PID controller based on genetic algorithm is designed. Brushless DC motor uses double closed loop control system. The adaptive fuzzy PID controller based on genetic algorithm is applied to outer ring speed ring, and PI controller is applied to inner ring. The simulation results show that, the designed brushless DC motor control system based on genetic algorithm optimization has a short rise time and no overshoot, small steady-state error and other advantages. And the system has strong robustness and adaptability.

scholarly journals Brushless DC Motor Speed Controller for Electric Motorbike

2018 ◽  
Vol 9 (2) ◽  
pp. 859
Author(s):  
Mohd Syakir Adli ◽  
Noor Hazrin Hany Mohamad Hanif ◽  
Siti Fauziah Toha Tohara
Keyword(s):  
Pid Controller ◽  
Dc Motor ◽  
Battery Pack ◽  
Brushless Dc Motor ◽  
Bldc Motor ◽  
Motor Speed ◽  
Brushless Dc ◽  
Speed Controller ◽  
Optimum Speed ◽  
Control Scheme

<p>This paper presents a control scheme for speed control system in brushless dc (BLDC) motor to be utilized for electric motorbike. While conventional motorbikes require engine and fuel, electric motorbikes require DC motor and battery pack in order to be powered up. The limitation with battery pack is that it will need to be recharged after a certain period and distance. As the recharging process is time consuming, a PID controller is designed to maintain the speed of the motor at its optimum state, thus ensuring a longer lasting battery time (until the next charge). The controller is designed to track variations of speed references and stabilizes the output speed accordingly. The simulation results conducted in MATLAB/SIMULINK® shows that the motor, equipped with the PID controller was able to track the reference speed in 7.8x10<sup>-2</sup> milliseconds with no overshoot.  The result shows optimistic possibility that the proposed controller can be used to maintain the speed of the motor at its optimum speed.</p>

Designed Controller of Permanent Magnet Brushless DC Motor Based on DSP

2014 ◽  
Vol 672-674 ◽  
pp. 1210-1213 ◽  
Author(s):  
Gui Yin Zhan
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
Digital Signal Processor ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Development Environment ◽  
Brushless Dc ◽  
Detection Circuit ◽  
Software Program ◽  
Permanent Magnet Brushless Dc

A design scheme of the control system was put forward to solve the performance control problems of the motor in this paper, combining with the composition and working principle of permanent magnet brushless DC motor. Hardware circuit of the control system was designed with digital signal processor (DSP) as the core, which mainly consists of the power drive circuit, the motor position, speed detection circuit and winding current detection circuit. Software flow of the control system was also designed, and software program debugging was achieved on CCS3.3 DSP integrated development environment, and the rationality of the software program was validated.

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