4.7 Article

Global position tracking control of PMSM servo system via internal model approach and experimental validations

Journal

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
Volume 32, Issue 16, Pages 9017-9033

Publisher

WILEY
DOI: 10.1002/rnc.6317

Keywords

disturbance rejection; global robust output regulation; internal model; permanent magnet synchronous motor; position tracking

Funding

  1. National Natural Science Foundation of China [61873083, 62073217]
  2. Fundamental Research Funds for the Central Universities [PA2020GDKC0013]

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In this article, a method based on internal model controller and global robust output regulation theory is proposed to solve the global position tracking control problem of permanent magnet synchronous motor (PMSM) servo system. By constructing an appropriate internal model and global stabilization controller, the global position tracking and disturbance rejection of the system can be guaranteed.
In practical engineering, load torque disturbance and parameter uncertainties are two important factors, which may deteriorate the tracking accuracy of permanent magnet synchronous motor (PMSM) servo system. Therefore, its global position tracking control problem is a challenging task when the load torque disturbance is time-varying and the motor parameters are unknown. In this article, an internal model controller based on global robust output regulation (GROR) theory is proposed to achieve this control objective. In particular, we first formulate the global position tracking control problem as a GROR problem. Then, the GROR problem is converted into a global robust stabilization problem of an augmented system by constructing an appropriate internal model. Finally, we can stabilize the augmented system by a global stabilization controller instead of local stabilization controller used in the recent work, which guarantees global position tracking and disturbance rejection of PMSM servo system. The excellent position tracking performance of our design is demonstrated by both simulation and experimental results.

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