DocumentCode
2501530
Title
Research on modeling and robust adaptive control of a novel permanent magnet spherical stepper motor
Author
Li, Zheng ; Wang, Qunjing ; Liu, Chaoying
Author_Institution
Sch. of Electr. Eng. & Inf. Sci., Hebei Univ. of Sci. & Technol., Shijiazhuang
fYear
2008
fDate
25-27 June 2008
Firstpage
8946
Lastpage
8951
Abstract
The real-time torque calculation and dynamic modeling have been the difficulties in the motion control of the permanent magnet spherical stepper motor. Based on the presented continuous trajectory tracking control mode, a simplified torque calculation method and the non-linear system dynamic model have been proposed. The perturbation of the system parameters, the model error and the external disturbance result in the actual system uncertainties, which have a great effect on the control performance of the motor, so a robust adaptive control strategy is developed. The controller consists of nonlinear PD control and adaptive feedback control, so that the high level initial torque can be reduced. The analysis and simulation results have shown that the system has excellent tracking performance and robust stability against the model error and disturbance, which proves the validity of the presented model and control strategy.
Keywords
PD control; adaptive control; feedback; machine control; motion control; nonlinear control systems; permanent magnet motors; position control; robust control; stepping motors; adaptive feedback control; continuous trajectory tracking control; motion control; nonlinear PD control; nonlinear system dynamic model; permanent magnet spherical stepper motor; real-time torque calculation; robust adaptive control; robust stability; Adaptive control; Error correction; Motion control; Nonlinear control systems; Nonlinear dynamical systems; Permanent magnet motors; Robust control; Torque control; Trajectory; Uncertainty; dynamic model; permanent magnet; robust control; spherical stepper motor; trajectory tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4594343
Filename
4594343
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