Improved brushless DC motor speed controller with digital signal processor

2014 ◽  
Vol 50 (12) ◽  
pp. 864-866 ◽  
Author(s):  
H. Kahveci ◽  
H.I. Okumuş ◽  
M. Ekici
Author(s):  
Mohd Syakir Adli ◽  
Noor Hazrin Hany Mohamad Hanif ◽  
Siti Fauziah Toha Tohara

<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>


2013 ◽  
Vol 432 ◽  
pp. 472-477
Author(s):  
Wei Fan ◽  
Tao Chen

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.


2014 ◽  
Vol 492 ◽  
pp. 49-55
Author(s):  
Hong Xing Wu ◽  
Zhi Yuang Qi ◽  
Ji Gui Zheng ◽  
Shou Ming Zhou

Without position sensor control technology of brushless DC motor has become the focus of many experts and scholars at home and abroad. The article presented research of without speed and position sensor control for brushless DC motor, including brushless DC motor mathematical model, Back-EMF detection principle and starting position detection method, and designed a hardware control system based dedicated digital signal processor (DSP). For experimental study of the system based experimental prototype had shown: this method can achieve no load starting, load starting and load operation of without position sensor brushless DC motor.


2013 ◽  
Vol 765-767 ◽  
pp. 1791-1795 ◽  
Author(s):  
Zheng Zhong Li ◽  
Li Xia Guo ◽  
Guo Fang Gao

To handle the shortages of conventional PID control, recur to the high-performance digital signal processor, combine the fuzzy self-adaption controller with brushless dc motor control system. The results show the control system structure is simplified and the performances of control system are improved comparing to the conventional PID control, the performance index is better than that in conventional PID control system, so the stability of brushless dc motor operation is strengthened.


2013 ◽  
Vol 336-338 ◽  
pp. 728-733
Author(s):  
Xi Zhu ◽  
Jian Guo Song ◽  
Qing Lu Zhang

In order to drive beam-pumping unit with brushless DC motor (BLDCM), a kind of motor speed regulator was investigated. When pumping unit is in up stroke, BLDCM is power-driven; when in down stoke, pumping unit is braked by BLDCM. To meet the operation mode, PI double closed loops control strategy and Pulse Width Modulation (PWM) are applied. Simulation and test in field show that our design has good control effect and popularizing value.


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