Performance Improvement for PMSM Drives with Internal Model Based State Feedback Control Strategy

Zhu, Liqian; Hu, Bin; Wang, Gaolin; Zhao, Nannan; Huo, Junya; Fu, Zhaoqiang; Xu, Dianguo

doi:10.1109/icems.2019.8922360

Cited by 3 publications

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Consequently, fast and high precision motor control can be achieved. For this reason, the motor drives implemented with the FOC method are typically comprised of two loops in a cascade manner in the d − q rotating reference frame Zhu et al (2019). The current control loop is the inner loop for the stator current to follow its reference value while the speed control loop is the outer loop taking into account speed error signals and providing reference signals to the inner loop Giri (2013).…”

Section: Introductionmentioning

confidence: 99%

Robust Linear Parameter Varying Output Feedback Control of Permanent Magnet Synchronous Motors

Tasoujian¹,

Lee²,

Grigoriadis³

et al. 2020

Preprint

View full text Add to dashboard Cite

This paper investigates the design of a robust output-feedback linear parameter-varying (LPV) gain-scheduled controller for the speed regulation of a surface permanent magnet synchronous motor (SPMSM). Motor dynamics is defined in the α − β stationary reference frame and a parameter-varying model formulation is provided to describe the SPMSM nonlinear dynamics. In this context, a robust gain-scheduled LPV output-feedback dynamic controller is designed to satisfy the asymptotic stability of the closed-loop system and meet desired performance requirements, as well as, guarantee robustness against system parameter perturbations and torque load disturbances. The real-time impact of temperature variation on the winding resistance and magnet flux during motor operations is considered in the LPV modelling and the subsequent control design to address demagnetization effects in the motor response. The controller synthesis conditions are formulated in a convex linear matrix inequality (LMI) optimization framework. Finally, the validity of the proposed control strategy is assessed in simulation studies, and the results are compared to the results of the conventional field-oriented control (FOC) method. The closed-loop simulation studies demonstrate that the proposed LPV controller provides improved transient response with respect to settling time, overshoot, and disturbance rejection in tracking the velocity profile under the influence of parameter and temperature variations and load disturbances.

show abstract

Section: Introductionmentioning

confidence: 99%

Robust Linear Parameter Varying Output Feedback Control of Permanent Magnet Synchronous Motors

Tasoujian¹,

Lee²,

Grigoriadis³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

Robust linear parameter-varying output-feedback control of permanent magnet synchronous motors

Tasouijan

Lee

Grigoriadis

et al. 2021

Systems Science & Control Engineering

View full text Add to dashboard Cite

This paper investigates the design of a robust linear parameter-varying (LPV) controller for speed regulation of surface permanent magnet synchronous motors (SPMSMs). Motor dynamics is defined in the α-β stationary frame and a parameter-varying model formulation is provided to describe its nonlinear dynamics. A robust gain-scheduled LPV dynamic output-feedback controller is designed to guarantee the asymptotic stability and performance requirements, as well as, guarantee robustness against parameter perturbations and torque load disturbances. As a novel aspect in the SPMSM control, the real-time impact of temperature variation on the winding resistance and magnet flux during motor operation is explicitly considered in the LPV modeling as a scheduling parameter and the subsequent LPV control design compensating for demagnetization effects in the motor response. The controller synthesis conditions guaranteeing stability and robust performance to norm-bounded uncertainty in the system matrices are formulated in a convex linear matrix inequality (LMI) optimization framework. Finally, the validity of the proposed method is assessed in simulation studies. The closed-loop simulation studies demonstrate that the proposed LPV controller provides improved transient response with respect to settling time, overshoot, and disturbance rejection in tracking the velocity profile under the influence of parameter perturbation, temperature variations, and load disturbances.

show abstract

A Novel State-Feedback Controller for Permanent Magnet Synchronous Machines

Feng,

Baig,

Ebrahimi

et al. 2023

2023 International Conference on Modeling, Simulation &Amp;amp; Intelligent Computing (MoSICom)

View full text Add to dashboard Cite

Performance Improvement for PMSM Drives with Internal Model Based State Feedback Control Strategy

Cited by 3 publications

References 12 publications

Robust Linear Parameter Varying Output Feedback Control of Permanent Magnet Synchronous Motors

Robust Linear Parameter Varying Output Feedback Control of Permanent Magnet Synchronous Motors

Robust linear parameter-varying output-feedback control of permanent magnet synchronous motors

A Novel State-Feedback Controller for Permanent Magnet Synchronous Machines

Contact Info

Product

Resources

About