Sensorless permanent-magnet synchronous motor drive using a reduced-order rotor flux observer

Chan, T.F.; Wang, W.; Borsje, P.; Wong, YW; Ho, S. L.

doi:10.1049/iet-epa:20070234

Cited by 78 publications

(54 citation statements)

References 16 publications

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“…A model-based robust controller is used in [31] to estimate the load torque, and analyzed the convergence of the observer estimation error, the simulation and experimental results are presented to verify that the proposed methodology achieves a better robust performance. In [32]，A reduced-order rotor flux is used to estimate the position of the rotor flux and hence the rotor speed, excellent results verified the performances of the observer. Meanwhile, the minimum-order observer (MOO) has been well studied and applied successively in [33,34].…”

Section: Introductionmentioning

confidence: 74%

An Improved Predictive Functional Control with Minimum-Order Observer for Speed Control of Permanent Magnet Synchronous Motor

Wang¹,

Fu²,

Yang³

et al. 2017

Journal of Electrical Engineering and Technology

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-In this paper, an improved predictive functional control (PFC) scheme for permanent magnet synchronous motor (PMSM) control system is proposed, on account of the standard PFC method cannot provides a satisfying disturbance rejection performance in the case of strong disturbances. The PFC-based method is first introduced in the control design of speed loop, since the good tracking and robustness properties of the PFC heavily depend on the accuracy of the internal model of the plant. However, in orthodox design of prediction model based control method, disturbances are not considered in the prediction model as well as the control design. A minimumorder observer (MOO) is introduced to estimate the disturbances, which structure is simple and can be realized at a low computational load. This paper adopted the MOO to observe the load torque, and the observations are then fed back into PFC model to rebuild it when considering the influence of perturbation. Therefore, an improved PFC strategy with torque compensation, called the PFC+MOO method, is presented. The validity of the proposed method was tested via simulation and experiments. Excellent results were obtained with respect to the speed trajectory tracking, stability, and disturbance rejection.

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Section: Introductionmentioning

confidence: 74%

An Improved Predictive Functional Control with Minimum-Order Observer for Speed Control of Permanent Magnet Synchronous Motor

Wang¹,

Fu²,

Yang³

et al. 2017

Journal of Electrical Engineering and Technology

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show abstract

“…Because these methods are often affected by parameter variation and cause loss of stability at low speeds, they have severe disadvantages in sensorless PMSG control [19][20][21]. Moreover, because of complex calculation and the difficulty of adjusting control parameters, the methods like EKF, FL and ANN are not preferred in industrial applications [9,[22][23][24][25][26][27]. Since the amplitude of the back-EMF is poor and fluctuates at low generator operating speeds in sensorless control algorithms that are based on back-EMF estimation, it is difficult to predict the rotor position [28].…”

Section: Introductionmentioning

confidence: 99%

MRAS Tabanlı Çoklu-Parametre Tahmini ile Güçlendirilmiş İleri Beslemeli Stator Gerilim Tahminine Dayanan Sensörsüz Sürekli Mıknatıslı Senkron Generatör Kontrolü

Öztürk

2017

Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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A simple and efficient position sensorless control method based on feedforward voltage estimation for PMSG improved with multi-parameter estimation using MRAS is proposed in this paper. The dynamically enhanced stator feedforward dq-axes voltages that are derived from steady-state PMSG model are modified for the sensorless drive. In direct-drive wind turbine systems, because of low back-EMF amplitude in the generator output at very low speed operation, the rotor flux linkage cannot be predicted correctly. Vector control is often used in PMSG control, because it has a simple structure and is suitable for various industrial systems. In the power equation, maximum power is obtained as a function of torque and speed. In the proposed method, a variable-speed wind turbine system with back to back converter structure is connected to common DC-link. In this paper, the proposed sensorless control scheme has been implemented with 1 kW PMSG drive controlled by a TMS320F28335 DSP for low speed at 0.1 p.u. (300 rpm) is achieved under multi-parameter variations. Keywords

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“…Jahns and Soong [8] introduced a control-based technique for minimizing torque ripples by tuning the current waveform with an on-line or off-line controller. Chan et al [9] and Kim et al [10] proposed their sensorless drives for high bandwidth torque control by both the back EMF estimation with fundamental excitation and the saliency-based method with carrier frequency excitation. As for the driving patterns, the optimal current waveform to produce a maximum torque is proportional to the magnetic flux variation in the air gap, which shares the same waveform with the back EMF [11].…”

Section: Introductionmentioning

confidence: 99%

Optimal Design and Control of a Torque Motor for Machine Tools

Yang¹,

Yang²,

Liu³

2009

JEMAA

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Sensorless permanent-magnet synchronous motor drive using a reduced-order rotor flux observer

Cited by 78 publications

References 16 publications

An Improved Predictive Functional Control with Minimum-Order Observer for Speed Control of Permanent Magnet Synchronous Motor

An Improved Predictive Functional Control with Minimum-Order Observer for Speed Control of Permanent Magnet Synchronous Motor

MRAS Tabanlı Çoklu-Parametre Tahmini ile Güçlendirilmiş İleri Beslemeli Stator Gerilim Tahminine Dayanan Sensörsüz Sürekli Mıknatıslı Senkron Generatör Kontrolü

Optimal Design and Control of a Torque Motor for Machine Tools

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