Title : 
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
         
        
        
        
        
        
        
            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;
         
        
        
        
            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
         
        
        
            DOI : 
10.1109/ICICISYS.2009.5358080