DocumentCode :
1723225
Title :
The improved load balance adjustor of multi-motor driving system
Author :
Yang Jing Ming ; Su Bo ; Lv Jin ; Che Hai Jun
Author_Institution :
Key Lab. of Ind. Comput. Control Eng. of Hebei Province, Yanshan Univ., Qinhuangdao, China
fYear :
2013
Firstpage :
5305
Lastpage :
5310
Abstract :
Multi-motor coaxial connected are used to drive large mechanical load motor drive system. Multi-motor driver´s main advantage is can reduce the rotational inertia of the load, increase the rapidity of system, but followed by many motor driver control difficulty increase. Based on one tandem mill motor drive as the background, analyzes the series motor drive a rack rolling work mode, aiming at the load problem of this way of driving motor, design a new kind of load balance adjustor. Using load observer to get the actual load as the load balance adjustor´s input, the new control method of quadratic performance indicators single neuron adaptive PID, and joined the feed forward compensation to inhibit speed fluctuations. The results show that, this method can substantially ensure the roll motor load balance, while having a good control effect.
Keywords :
adaptive control; angular velocity control; compensation; control system synthesis; feedforward; mechanical variables control; motor drives; neurocontrollers; observers; three-term control; control effect; feedforward compensation; load balance adjustor design; load observer; mechanical load motor drive system; motor driver control; multimotor coaxial connected; multimotor driving system; proportional-integral-derivative controller; quadratic performance indicators; rack rolling work mode; rotational inertia reduction; single neuron adaptive PID; speed fluctuations; tandem mill motor drive; Channel hot electron injection; Design methodology; Digital control; MATLAB; Motor drives; Neurons; Observers; Load balance; Load balance control; Load observer; Multi-motor drive; Rolling mill; Single neuron PID;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
Type :
conf
Filename :
6640363
Link To Document :
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