DocumentCode :
1670999
Title :
Dynamic optimization of PID control parameters of complex magnetic suspension electromechanical coupling system
Author :
Song, Fangzhen ; Liu, Hui ; Song, Bo ; Feng, Huimin
Author_Institution :
Sch. of Mech. Eng., Univ. of Jinan, Jinan, China
fYear :
2010
Firstpage :
3435
Lastpage :
3440
Abstract :
In order to improve the machining precision of the magnetic suspension spindle which is usually installed on machine tool or other elastic structures, and to minimize the effects of machine vibration, the complex magnetic suspension electromechanical coupling system was studied. The design variables, objective functions and constraint condition of coupling system were determined. The optimized program was worked out based on genetic algorithm in VC 6.0 environment and the optimum PID control parameters satisfying static and dynamic machining precision of the magnetic suspension spindle were obtained. The unit sinusoidal response, dynamic flexibility and static flexibility of the coupling system were analyzed. The analysis results show that the dynamic and static characters of the coupling system after optimization have been raised obviously than that before optimization. The adverse effect brought by machine vibration could be reduced by optimizing the PID control parameters of complex magnetic suspension electromechanical coupling system, and the machining precision of the magnetic suspension spindle unit can be improved.
Keywords :
couplings; genetic algorithms; large-scale systems; machine tool spindles; machining; precision engineering; suspensions (mechanical components); three-term control; vibration control; PID control parameter; VC 6.0 environment; complex magnetic suspension electromechanical coupling system; dynamic flexibility; dynamic optimization; genetic algorithm; machine tool; machine vibration; machining precision; magnetic suspension spindle; static flexibility; unit sinusoidal response; Couplings; Heuristic algorithms; Machining; Magnetoelasticity; Optimization; Suspensions; Vibrations; control parameters; dynamic optimization; electromechanical coupling system; genetic algorithm; magnetic suspension spindle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
Type :
conf
DOI :
10.1109/WCICA.2010.5553810
Filename :
5553810
Link To Document :
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