Sensorless sliding mode observer for a five-phase permanent magnet synchronous motor drive

Hosseyni, Anissa; Trabelsi, Ramzi; Mimouni, Mohamed Faouzi; Iqbal, Atif; Alammari, Rashid

doi:10.1016/j.isatra.2015.05.007

Cited by 33 publications

(21 citation statements)

References 29 publications

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“…Nowadays, the multi-phase permanent magnet synchronous motors (PMSMs) are one of the most exciting candidates in high tech processes such as military applications, aerospace, marine applications and the electric vehicles [1][2][3]. High-power density, lower current per phase without increasing the stator voltage, high efficiency, and the lower torque ripples are the brilliant advantages of multi-phase IMPSMs.…”

Section: Introductionmentioning

confidence: 99%

Sensorless fault-tolerant control of five-phase IPMSMs via model reference adaptive systems

Zafari

Shoja-Majidabad

2020

Automatika

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The present study deals with sensorless fault-tolerant control (SFTC) of five-phase Interior Permanent Magnet Synchronous Motors (IPMSMs). First, a Proportional-Integral Model Reference Adaptive System (PI-MRAS) speed estimator is proposed. The MRAS compares outputs of reference and adaptive models. Then, PI controller is utilized to generate the estimated speed by minimizing current errors between the two models. Second, a novel Sign Integral Terminal Sliding Mode Controller (SITSMC) is suggested in the presence of open phase faults. The proposed controller tolerates these faults through a transformation matrix tuning technique in view of equal current and minimum copper loss schemes. Meanwhile, SITSM controller utilizes the estimated speed of PI-MRAS block. Third, stability of the closed-loop system is provided by Lyapunov theorem. Finally, simulation results validate the feasibility and effectiveness of the suggested SFTC strategy both in normal and open one phase faulty conditions for a five-phase IPMSM.

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Section: Introductionmentioning

confidence: 99%

Sensorless fault-tolerant control of five-phase IPMSMs via model reference adaptive systems

Zafari

Shoja-Majidabad

2020

Automatika

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“…Extended Kalman Filter (EKF) method is proposed in Aydogmus and Sünter (2012), however, heavy online matrix computing is necessary. Besides, because of good robustness to disturbance, sliding mode observer (SMO) is wildly applied to sensorless control of PMSM (Corradini et al, 2010; Hosseyni et al, 2015; Li et al, 2018; Qiao et al, 2013). An observer based on discrete-time quasi sliding mode controller for PMSM is designed in Corradini et al (2010).…”

Section: Introductionmentioning

confidence: 99%

An adaptive second-order sliding-mode observer for permanent magnet synchronous motor with an improved phase-locked loop structure considering speed reverse

Zhan

Ji-fu

Zhao

2019

Transactions of the Institute of Measurement and Control

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An adaptive second-order sliding-mode observer based on Super-Twisting Algorithm (STA-SMO) to estimate rotor position and speed of permanent magnet synchronous motor (PMSM) is proposed in this paper. The advantages of the proposed observer algorithm are reflected in small chattering, high tracking accuracy, good robustness to parameters change and external disturbance in wide positive and reversal speed range. The Lyapunov stability of the system is proved. A new perturbation term form is employed and according to the stable condition of STA-SMO, the adaptive sliding-mode coefficients related to absolute value of estimated speed are deduced to guarantee the performance mentioned above in wide positive and negative speed range. In order to extract rotor position and speed in both speed range from the adaptive STA-SMO, an improved conventional phase-locked loop (IPLL), which is more accurate, is studied and its non-linear dynamics are analyzed in detail to prove the effectiveness of the IPLL theoretically. In the end, the effectiveness of the adopted adaptive second-order sliding-mode observer with IPLL structure is verified through simulations. Simulation results show that the position error and chattering of the proposed adaptive observer are decreased more than 25% and 50% compared with conventional SMO and STA-SMO in wide positive and negative speed range. Meanwhile, the proposed system still has good estimation performance and strong robustness with torque and parameters variation.

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“…The main idea of sensorless control of parallel-connected two five-phase machines is to estimate the rotor positions and their corresponding speeds through an appropriate way using measurable quantities such as five-phase currents and voltages. However, few applications deal with the sensorless control of multiphase machines such as, model reference system [32], Kalman filtering technique [33] and sliding mode observer of five-phase induction motor [10]. Unlike the other approaches, EKF is more attractive because it delivers rapid, precise and accurate estimation.…”

Section: Introductionmentioning

confidence: 99%

Extended Kalman Filter Based Sliding Mode Control of Parallel-Connected Two Five-Phase PMSM Drive System

et al. 2018

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This paper presents sliding mode control of sensor-less parallel-connected two five-phase permanent magnet synchronous machines (PMSMs) fed by a single five-leg inverter. For both machines, the rotor speeds and rotor positions as well as load torques are estimated by using Extended Kalman Filter (EKF) scheme. Fully decoupled control of both machines is possible via an appropriate phase transposition while connecting the stator windings parallel and employing proposed speed sensor-less method. In the resulting parallel-connected two-machine drive, the independent control of each machine in the group is achieved by controlling the stator currents and speed of each machine under vector control consideration. The effectiveness of the proposed Extended Kalman Filter in conjunction with the sliding mode control is confirmed through application of different load torques for wide speed range operation. Comparison between sliding mode control and PI control of the proposed two-motor drive is provided. The speed response shows a short rise time, an overshoot during reverse operation and settling times is 0.075 s when PI control is used. The speed response obtained by SMC is without overshoot and follows its reference and settling time is 0.028 s. Simulation results confirm that, in transient periods, sliding mode controller remarkably outperforms its counterpart PI controller.

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Sensorless sliding mode observer for a five-phase permanent magnet synchronous motor drive

Cited by 33 publications

References 29 publications

Sensorless fault-tolerant control of five-phase IPMSMs via model reference adaptive systems

Sensorless fault-tolerant control of five-phase IPMSMs via model reference adaptive systems

An adaptive second-order sliding-mode observer for permanent magnet synchronous motor with an improved phase-locked loop structure considering speed reverse

Extended Kalman Filter Based Sliding Mode Control of Parallel-Connected Two Five-Phase PMSM Drive System

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