Multi-motor synchronous control based on fuzzy support vector machine

Author

Hongfeng, Deng ; Hongwu, Liu

Author_Institution

Sch. of Electron. & Inf. Eng., Nanchang Hangkong Univ., Nanchang, China

Volume

2

fYear

2009

fDate

20-22 Nov. 2009

Firstpage

60

Lastpage

63

Abstract

This paper proposes a multi-motor synchronous control method based on fuzzy support vector machine (FSVM). The evaluation parameters of synchronization-error, tracking-error and dynamic-error are determined under complex interference situations. The experimental results of six-motor synchronous control show that the method can not only reduce the tracking-error and synchronization-error when compared with the traditional multi-motor synchronous control system, but also reduce the dynamic-error. Moreover, the system has faster convergence rate and better robustness.

Keywords

control engineering computing; fuzzy control; interference; machine control; support vector machines; synchronous motors; tracking; complex interference situations; dynamic error; fuzzy support vector machine; multimotor synchronous control; synchronization error; tracking error; Control systems; Convergence; Fuzzy control; Interference; Lagrangian functions; Risk management; Robustness; Safety; Stability; Support vector machines; fuzzy control; multi-motor; support vector machine; synchronous control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-4754-1

Electronic_ISBN

978-1-4244-4738-1

Type

conf

DOI

10.1109/ICICISYS.2009.5358080

Filename

5358080