Nonlinear tracking control for sensorless permanent magnet synchronous motors with uncertainties

Verrelli, Cristiano Maria; Tomei, P.; Lorenzani, Emilio; Migliazza, Giovanni; Immovilli, Fabio

doi:10.1016/j.conengprac.2016.12.011

Cited by 44 publications

(29 citation statements)

References 32 publications

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“…The control community has been very active in the development of observers and partial state-feedback controllers for electrical machines. Attention has been centered on permanent magnet synchronous motors (PMSMs) and induction motors, for which a large number of articles and monographs written by control specialists have appeared in the last few years (see, for instance, other works [1][2][3][4] and the references therein). Several publications have been reported in the control literature on the problem of model-based control of SRM (see, eg, other works [5][6][7][8] ).…”

Section: Introductionmentioning

confidence: 99%

Adaptive state observers for sensorless control of switched reluctance motors

Ortega

Sarr

Bobtsov

et al. 2018

Intl J Robust & Nonlinear

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In this paper, we address the problem of state observation for sensorless control of switched reluctance motors (SRMs), that is, the regulation of the motor measuring only the voltage and the current of the electrical supply. Instrumental for the construction of the observer is the derivation of algebraic relations, which define regression models, between the unknown rotor flux and the measured quantities. With the knowledge of the flux, it is shown that the mechanical coordinates can be estimated with suitably tailored adaptive nonlinear observers. Replacing the observed states, in a certainty equivalent manner, with a full information stabilizing law completes the sensorless controller design. In contrast with other motors, there is no universally accepted mathematical model to describe the dynamics of SRMs. To widen our target audience, we present the results for four different mathematical models reported in the literature. Simulation results with a precise (finite element) model of the SRM are used to illustrate the performance of the proposed observer and sensorless control.

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Section: Introductionmentioning

confidence: 99%

Adaptive state observers for sensorless control of switched reluctance motors

Ortega

Sarr

Bobtsov

et al. 2018

Intl J Robust & Nonlinear

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“…However, for given numerical values of these constants, it is alway possible to solve the scalar inequality and numerically compute γ min . (i) The PMSM extensively studied in the literature, see e.g., [3], [5], [30] and references therein. (ii) The benchmark MagLev system proposed in [10] and considered in [23].…”

Section: B Adaptive Flux Observermentioning

confidence: 99%

A robust adaptive flux observer for a class of electromechanical systems

Pyrkin

Vedyakov

Ortega

et al. 2018

International Journal of Control

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The problem of designing a flux observer for magnetic field electromechanical systems from noise corrupted measurements of currents and voltages is addressed in this paper. Imposing a constraint on the systems magnetic energy function, which allows us to construct an algebraic relation between fluxes and measured voltages and currents that is independent of the mechanical coordinates, we identify a class of systems for which a globally convergent adaptive observer can be designed. A new adaptive observer design technique that effectively exploits the aforementioned algebraic relation is proposed and successfully applied to the practically important examples of permanent magnet synchronous motors and magnetic levitation systems.

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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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Nonlinear tracking control for sensorless permanent magnet synchronous motors with uncertainties

Cited by 44 publications

References 32 publications

Adaptive state observers for sensorless control of switched reluctance motors

Adaptive state observers for sensorless control of switched reluctance motors

A robust adaptive flux observer for a class of electromechanical systems

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

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