Home           Contact us           FAQs           
     Journal Home     |     Aim & Scope    |    Author(s) Information      |     Editorial Board     |     MSP Download Statistics
2013 (Vol. 5, Issue: 23)
Article Information:

Position Servo Control for a Direct-Drive Actuator Based on Genetic Algorithm

Baifen Liu and Ying GAO
Corresponding Author:  Baifen Liu 

Key words:  Brushless DC motor (BLDC), Digital Signal Processor (DSP), Direct-Drive Actuator (DDA), doubles loops, Genetic Algorithm (GA), robustness ,
Vol. 5 , (23): 5359-5364
Submitted Accepted Published
August 11, 2012 September 17, 2012 May 28, 2013

A novel position control strategy for a Brushless DC motor (BLDC) drive is proposed in this paper. Brushless DC motor, which is widely used in the field of Direct Drive servo Actuator (DDA) with superior performance, possesses fast transient response and high accuracy. Nevertheless, there are such uncertainties as unpredictable flow torques and estimated errors of the BLDC model in this system, which may influence the accuracy and the rapid response of the control. So in this paper, genetic algorithm is applied to the position loop. Simultaneously, in order to improve the rapidness of the whole system, position and velocity double closed-loop system is compared with position and current double closed-loop system. Experimental results validate the scheme proposed can attenuate the influences by the uncertainties of the model sharply. The genetic algorithm used in the position loop can ensure the system's stability and the accuracy of the position response. While tracking the same step response the step rise time of the double closed loop structure of the position and current reduced more than 25% compared with that of the double closed loop structure of the position and velocity.
Abstract PDF HTML
  Cite this Reference:
Baifen Liu and Ying GAO, 2013. Position Servo Control for a Direct-Drive Actuator Based on Genetic Algorithm.  Research Journal of Applied Sciences, Engineering and Technology, 5(23): 5359-5364.
    Advertise with us
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2015. MAXWELL Scientific Publication Corp., All rights reserved