Speed tracking and synchronization of multiple motors using ring coupling control and adaptive sliding mode control

Li, Le-Bao; Sun, Lingling; Zhang, Shengzhou; Yang, Qingquan

doi:10.1016/j.isatra.2015.07.010

Cited by 82 publications

(44 citation statements)

References 30 publications

(40 reference statements)

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“…The common synchronous control strategies are the parallel control, the master/slave control, the virtual-shaft control, the cross-coupling control, the relative coupling control, adjacent cross-coupling control, ring coupling control, and so on [10][11][12][13][14][15][16][17][18]. Koren initially proposed the crosscoupling control [12], which, yet, is difficult to be applied to more than two systems.…”

Section: Introductionmentioning

confidence: 99%

“…To improve synchronous control precision, the control algorithms are also further studied by researchers, such as traditional PID control, adaptive feed forward control, ∞ control, iterative learning control, sliding mode control, fuzzy control, and neural network control [10,11,[17][18][19][20][21][22][23][24][25]. Sun and Chiu developed a nonlinear control algorithm to address the motion synchronization of a dual-cylinder electrohydraulic lifting system [23].…”

Section: Introductionmentioning

confidence: 99%

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Differential Movement Synchronous Tracking Control Strategy of Double‐Shaking Table System Loading with Specimen

Wang

et al. 2018

Shock and Vibration

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Multisupport, multidimension, and nonuniform excitation seismic experiments have new requirements for shaking table array system in synchronous tracking control. Therefore, this article proposed a novel synchronous tracking strategy, differential movement synchronous tracking control (DMSTC) strategy, for double-shaking table system while taking the interaction between shaking tables and specimen into consideration. DMSTC Simulink model of the double-shaking table with specimen was established and simulations were conducted in various conditions. The results demonstrate the viability of the proposed DMSTC in that the frequency bandwidth of the double-shaking tables is expanded from 3.27 Hz to 64.57 Hz, the maximum value of differential movement synchronous error is decreased from 1.682 mm to 0.482 mm, and the maximum tracking errors of the two shaking tables decrease from 1.138 mm to 0.044 mm and from 1.030 mm to 0.497 mm, respectively.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Differential Movement Synchronous Tracking Control Strategy of Double‐Shaking Table System Loading with Specimen

Wang

et al. 2018

Shock and Vibration

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“…However, this control technique is sensitive to external disturbance and parameters uncertainties. To overcome this limitation, numerous nonlinear control strategies have been proposed in the literature such the backstepping control [4], input-output linearization control [2] and sliding mode control [5]- [7] and so on.…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, this control strategy is robust to uncertainties and disturbance and also offer a stable control strategy and fast dynamic response [7]. Several methods of applying the SMC control to PMSM motor drives have been developed in the literature [7]- [8]. In [7], a new adaptive sliding mode control is designed to achieve the synchronization control of multiple three phase PMSM.…”

Section: Introductionmentioning

confidence: 99%

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New Sensorless Sliding Mode Control of a Five-phase Permanent Magnet Synchronous Motor Drive Based on Sliding Mode Observer

Hosseyni¹,

Trabelsi²,

Kumar³

et al. 2017

IJPEDS

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This paper proposes a sensorless sliding mode control (SMC) for a five phase permanent magnet synchronous motor (PMSM) based on a sliding mode observer (SMO). The stability of the proposed strategy is proved in the sense of the Lyapunov theory. The sliding mode controller is designed with an integral switching surface and the sliding mode observer is developed for the estimation of rotor position and rotor speed. The proposed sensorless control strategy exhibits good dynamic response to disturbances. Simulation results are provided to prove the effectiveness of the proposed strategy.

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Sliding mode control of grid‐connected wind energy system driven by 2 five‐phase permanent magnet synchronous generators controlled by a new fifteen‐switch converter

Kamel

Djahbar

Barkat

et al. 2020

Int Trans Electr Energ Syst

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Summary This article presents a new wind energy system using 2 five‐phase permanent magnet synchronous generators (PMSGs) controlled by a fifteen‐switch rectifier (FSR) topology for grid‐connected system. The 2 five‐phase PMSGs are connected to the DC link through a FSR; at its turn, the DC link is connected to the grid through a classical three‐phase inverter. In order to boost the control performance of the proposed wind system, a sliding mode control is adopted to control both generators‐side and grid‐side converters. The proposed control is tested under varying wind velocity and compared with a proportional‐ and integral (PI)‐based control system. The obtained simulation results show that the controlled variables follow their references independently of the wind speed fluctuations; and there is a significant reduction in the speeds overshoots by 100% and in the DC‐link voltage ripples by more than 78%. In addition, the total harmonic distortion (THD) of the generated current and grid current are reduced to 7.19% and 47.80% compared with PI regulators, respectively.

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Speed tracking and synchronization of multiple motors using ring coupling control and adaptive sliding mode control

Cited by 82 publications

References 30 publications

Differential Movement Synchronous Tracking Control Strategy of Double‐Shaking Table System Loading with Specimen

Differential Movement Synchronous Tracking Control Strategy of Double‐Shaking Table System Loading with Specimen

New Sensorless Sliding Mode Control of a Five-phase Permanent Magnet Synchronous Motor Drive Based on Sliding Mode Observer

Sliding mode control of grid‐connected wind energy system driven by 2 five‐phase permanent magnet synchronous generators controlled by a new fifteen‐switch converter

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