Nonlinear adaptive speed control of a permanent magnet synchronous motor: A perturbation estimation approach

Chen, Jian; Yao, Wei; Ren, Yaxing; Wang, Ruotong; Zhang, Lanhong; Jiang, Lin

doi:10.1016/j.conengprac.2019.01.019

Cited by 34 publications

(25 citation statements)

References 59 publications

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“…With the compact size, high efficiency, high power factor, high power density, large torque-to-inertiaratio and fast dynamic response, PMSM has been widely used in many practical systems [1][2][3], such as wind power generation, robotics, electric vehicles and aerospace etc. According to different application scenarios and working conditions, the rotational speed of the motor must be precisely controlled and the problem of controlling PMSM speed has increasingly attracted attentions.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear sensorless speed tracking control for PMSM with unmodeled electromotive forces

Yang

Cheng

Zhu

et al. 2021

Asian Journal of Control

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In this paper, a sensorless speed tracking control scheme is proposed for Permanent Magnet Synchronous Motor (PMSM) with unmodeled electromotive forces. Specifically, one observer is developed to estimate the angular velocity of PMSM and the estimated value is injected into a novel nonlinear feedback controller. The unmodeled electromotive forces are not estimated. The influences of the unmodeled electromotive forces on the speed tracking performance are overcome by constructing corresponding nonlinear damping terms in the controller. Under certain assumptions, the rigorous proof of the stability of the closed-loop system is completed with Lyapunov theory. All the dynamic signals are bounded. Furthermore, the estimation error and the tracking error can converge to an arbitrarily small value by choosing the control parameters appropriately large. Finally, the simulation results of constant and time-vary speed tracking illustrated the effectiveness of the proposed controller.

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Section: Introductionmentioning

confidence: 99%

Nonlinear sensorless speed tracking control for PMSM with unmodeled electromotive forces

Yang

Cheng

Zhu

et al. 2021

Asian Journal of Control

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“…Shi and Zhang (2014) gave a type of multi-objective design and optimization method for anti-demagnetization, and used a genetic algorithm to obtain a globally optimal solution. Moreover, there are also other achievements for PMSM (Bernard and Praly, 2018; Chen et al, 2019; Lim et al, 2015; Verrelli et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Parametric control to permanent magnet synchronous motor via proportional plus integral feedback

Zhang

Liu

2020

Transactions of the Institute of Measurement and Control

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This study investigates a parametric approach to design the proportional-integral (PI) controller for a permanent magnet synchronous motor (PMSM). Based on the solutions of the generalized Sylvester equation, the generally parametric expressions of PI controller and right eigenvector matrix are obtained. By using the parametric approach, the closed-loop system is converted into a linear time-invariant system with an expected eigenstructure. Further, a numerical example is put forward to illustrate the effectiveness and feasibility of the proposed parametric approach.

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“…However, the PMSM is a typical multivariable coupled high nonlinear system, and its performance is sensitive to external load disturbances and parameter uncertainties. Over the last decades, various design methods have been developed, such as robust control [3], predictive control [4], adaptive control [5], and neural network control [6].…”

Section: Introductionmentioning

confidence: 99%

Disturbance Observer-Based Complementary Fractional-Order Sliding Mode Control for PMSM Drive System

Lan

Zheng

Wang

2020

Mathematical Problems in Engineering

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In this paper, a disturbance observer-based complementary fractional-order sliding mode control (CFOSMC) scheme is proposed for the permanent magnet synchronous motor (PMSM) drive system. First, to reconstruct the load disturbance and parameter variations, a nonlinear disturbance observer is designed. Next, a disturbance observer-based fractional-order sliding mode with a saturation function control law is designed to reduce the chattering problem in the existing fractional-order sliding mode control (FOSMC) method. Furthermore, to reduce the thickness of the boundary layer, a CFOSMC scheme is designed. By using the fractional-order Lyapunov stability theorem, the existence condition and the chattering problem are analyzed. Compared with the existing FOSMC, the obtained CFOSMC law does not contain any high-order derivatives of tracking error, which is easier to implement. Finally, the numerical simulations and experimental results are provided to show the superiority of the proposed method. To improve the performance of the permanent magnet synchronous motor (PMSM) drive system in terms of tracking rapidity, accuracy, and robustness, a complementary fractional-order sliding mode control (CFOSMC) scheme with disturbance observer is proposed in this paper.

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Nonlinear adaptive speed control of a permanent magnet synchronous motor: A perturbation estimation approach

Cited by 34 publications

References 59 publications

Nonlinear sensorless speed tracking control for PMSM with unmodeled electromotive forces

Nonlinear sensorless speed tracking control for PMSM with unmodeled electromotive forces

Parametric control to permanent magnet synchronous motor via proportional plus integral feedback

Disturbance Observer-Based Complementary Fractional-Order Sliding Mode Control for PMSM Drive System

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