Design of One Dimensional Adjustment Platform Servo Control System Based on Neural Network

Jie DUAN, Kejuan XUE, Xiangyang SUN

Abstract


This paper designed a one dimensional adjustment of high precision servo control system, in order to provide individual comprehensive combat system high precision gun visual Angle. In servo control system hardware design based on DSP digital signal processing (DSP) chip as the CPU control circuit, in regard to algorithm, using the three layers BP neural network algorithm for PID integral gain and differential gain and intelligently adjusting proportion gain. On this basis, also analyzes the advantages and disadvantages of the traditional BP neural network algorithm, carries on the improvement. Vector using adaptive control, numerical optimization and introducing the steepness factor method, solve the contradiction between the stability and learning time, greatly improving the convergence speed and stability of the system performance, the static stability of the turntable accuracy is less than 3″, indicators reached the design requirements.


Keywords


Neural network PID; Ac servo motor; Adjust machine

Full Text:

PDF

References


Fardoun, A., et al. (1994). Modeling and simulation of an electronically commutated permanent magnet machine drive system using SPICE. IEEE Trans. Ind. Appl., 30, 927-937.

Hu, T., Leviner, M. D., & Dawson, D. M. (1996). An adaptive tracking controller for multiple-phase permanent-magnet machines. Int. J. Control, 64(6), 997-1022.

Lin, F.-J., Shyu, K.-K., & Lin, Y.-S. (1999). Variable structure adaptive control for PM synchronous servo motor drive. IEE Proc. Electric Power Appl., 146(1), 173-185.

Lin, F. J., & Chiu, S. L. (1998). Adaptive fuzzy sliding-mode control for PM synchronous servo motor drives. LEE Proc. Control Theory Appl, 145, 63-72.

Saudon, Y. (1992). Current control of permanent magnet synchronous machine: Experimental and simulation study. IEEE Trans. Power Electron, 7(3), 560-567.

Sepe, R. B., & Lang, J. H. (1991). Real-time adaptive control of the permanent magnet synchronous motor. IEEE Trans, on Ind. Appl., 27(4), 706-714.

Thomas, M., Jakus, T. M., & Wen, L. S. (1996). Pulsating torque minimuzation techniques for permanent magnet AC motor drives. A review. IEEE Trans. on Ind. Electron, 43(2), 309-320.

Tomaru, T., & Yasuchika, M. (2010). Design of multi-input multi-output minimum-phase state control system with decoupling and feed forward compensation (pp.53-61). Electrical Engineering in Japan.




DOI: http://dx.doi.org/10.3968/n

Refbacks

  • There are currently no refbacks.


Copyright (c) 2015 Management Science and Engineering



Share us to:   

Reminder

  • We are currently accepting submissions via email only.

    The registration and online submission functions have been disabled.

    Please send your manuscripts to mse@cscanada.net，or mse@cscanada.org  for consideration.

    We look forward to receiving your work.

 


We only use three mailboxes as follows to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases:
caooc@hotmail.com; mse@cscanada.net; mse@cscanada.org

 Articles published in Management Science and Engineering are licensed under Creative Commons Attribution 4.0 (CC-BY).

 MANAGEMENT SCIENCE AND ENGINEERING Editorial Office

Address:1055 Rue Lucien-L'Allier, Unit #772, Montreal, QC H3G 3C4, Canada.

Telephone: 1-514-558 6138
Http://www.cscanada.net Http://www.cscanada.org

Copyright © 2010 Canadian Research & Development Centre of Sciences and Cultures