Speed and current regulation of a permanent magnet synchronous motor via nonlinear and adaptive backstepping control

Karabacak, Murat; Eskikurt, Halil Ibrahim

doi:10.1016/j.mcm.2011.01.039

Cited by 80 publications

(37 citation statements)

References 32 publications

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“…It is worth mentioning that the choices of control parameter and adaption gain are no restriction for use, except for positive definite terms. Previous studies have shown that control gains are frequently necessary to satisfy inequality relation with uncertain parameters [21] and selection of adaptation gains in multiparameter estimation situation is complicated [24] as (A3) encountered. The relaxation of control and adaptation gains is beneficial for implementation of the proposed control scheme apparently.…”

Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

“…Previous researches such as that in [21] cannot resolve full parameter uncertainties, and the problems of overparameterization and singularity cannot be complete to be coped with. Furthermore, the paper enables overcoming the shortcomings of conventional BC, and totally seven parameter uncertainties of six motor parameters and one load parameter are taken into account, which construct a full adaptive structure and eliminate (A2) and (A3).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive Backstepping Based MTPA Sensorless Control of PM-Assisted SynRM with Fully Uncertain Parameters

Chang

Zheng

et al. 2018

Mathematical Problems in Engineering

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A nonlinear and robust adaptive backstepping based maximum torque per ampere speed sensorless control scheme with fully uncertain parameters is proposed for a permanent magnet-assisted synchronous reluctance motor. In the design of the controller, the relation to --axis currents constrained by maximum torque per ampere control is firstly derived. Then, a fully adaptive backstepping control method is employed to design control scenario and the stability of the proposed control scenario is proven through a proper Lyapunov function candidate. The derived controller guarantees tracking the reference signals of change asymptotically and has good robustness against the uncertainties of motor parameters and the perturbation of load torque. Moreover, in allusion to the strong nonlinearity of permanent magnet-assisted synchronous reluctance motor, an active flux based improved reduced-order Luenberger speed observer is presented to estimate the speed. Digital simulations testify the feasibility and applicability of the presented control scheme.

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Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive Backstepping Based MTPA Sensorless Control of PM-Assisted SynRM with Fully Uncertain Parameters

Chang

Zheng

et al. 2018

Mathematical Problems in Engineering

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“…The mathematical model of a conventional surface mounted PMSM can be given with above standard assumptions in the d − q frame as [22] …”

Section: Mathematic Model Of Pmsm and Problem Formulationmentioning

confidence: 99%

Backstepping control of speed sensorless permanent magnet synchronous motor based on slide model observer

Chen

Xie

Lan

2015

Int. J. Autom. Comput.

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This paper presents a backstepping control method for speed sensorless permanent magnet synchronous motor based on slide model observer. First, a comprehensive dynamical model of the permanent magnet synchronous motor (PMSM) in d-q frame and its space-state equation are established. The slide model control method is used to estimate the electromotive force of PMSM under static frame, while the position of rotor and its actual speed are estimated by using phase loop lock (PLL) method. Next, using Lyapunov stability theorem, the asymptotical stability condition of the slide model observer is presented. Furthermore, based on the backstepping control theory, the PMSM rotor speed and current tracking backstepping controllers are designed, because such controllers display excellent speed tracking and anti-disturbance performance. Finally, Matlab simulation results show that the slide model observer can not only estimate the rotor position and speed of the PMSM accurately, but also ensure the asymptotical stability of the system and effective adjustment of rotor speed and current.

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“…This technique of non-linear control has been recently developed; it can be effectively used for linearizing a non-linear system in the presence of uncertainties [6][7][8][9].…”

Section: Backstepping Control With Integral Action For Pmsmmentioning

confidence: 99%

Backstepping control with integral action of PMSM integrated according to the MRAS observer

Larbaoui¹,

Belabbes²,

Meroufel³

et al. 2014

IOSRJEEE

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Speed and current regulation of a permanent magnet synchronous motor via nonlinear and adaptive backstepping control

Cited by 80 publications

References 32 publications

Adaptive Backstepping Based MTPA Sensorless Control of PM-Assisted SynRM with Fully Uncertain Parameters

Adaptive Backstepping Based MTPA Sensorless Control of PM-Assisted SynRM with Fully Uncertain Parameters

Backstepping control of speed sensorless permanent magnet synchronous motor based on slide model observer

Backstepping control with integral action of PMSM integrated according to the MRAS observer

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