DocumentCode
2564510
Title
PMSM drive system control based on improved active set algorithm
Author
Chen, Shujin ; Wu, Mingfang ; Lai, Zhongmin
Author_Institution
Provincial Key Lab. of Adv. Welding Technol., Jiangsu Univ. of Sci. & Technol., Zhenjiang
fYear
2008
fDate
2-4 July 2008
Firstpage
3174
Lastpage
3178
Abstract
In order to obtain excellent varied speed performance of welding robot, the predictive model of motor drive system was established. On the basis of the analysis of the permanent magnet synchronous motor drive system, generalized predictive control method was adopted to control the rotor speed and position of the rotor. Because of the input and output constraint of the system, convex quadratic problem was proposed, and then an active set algorithm was adopted to deal with these constrained input and output. At last, the performance of this method is demonstrated by a real-time implementation using a digital signal processor (DSP) chip on a permanent-magnet synchronous motor with sinusoidal flux distribution. Theoretic analysis and experiments verify the validity and feasibility of this approach.
Keywords
permanent magnet motors; position control; predictive control; robotic welding; rotors; synchronous motor drives; velocity control; PMSM drive system control; active set algorithm; convex quadratic problem; digital signal processor chip; generalized predictive control method; permanent magnet synchronous motor drive system; rotor position control; rotor speed control; sinusoidal flux distribution; welding robot; Control systems; Magnetic analysis; Motor drives; Permanent magnet motors; Predictive control; Predictive models; Robots; Rotors; Signal processing algorithms; Welding; Active Set Algorithm; Generalized Predictive Control; Motor Drive System; Welding Robot;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-1733-9
Electronic_ISBN
978-1-4244-1734-6
Type
conf
DOI
10.1109/CCDC.2008.4597912
Filename
4597912
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