Discrete-Time Sliding Mode Observer for Sensorless Vector Control of Permanent Magnet Synchronous Machine

Bernardes, Thiago A.; Montagner, Vinícius F.; Gründling, Hilton Abílio; Pinheiro, Humberto

doi:10.1109/tie.2013.2267700

Cited by 200 publications

(82 citation statements)

References 44 publications

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“…However, these approaches are not designed for real-time estimation. The sliding mode observer (SMO) is developed for providing real-time state estimates for permanent magnet synchronous motors in [18][19][20]. However, higher-order derivatives presented in SMO are not desirable for hardware implementations.…”

Section: Introductionmentioning

confidence: 99%

Sensorless Direct Torque Control of Surface-Mounted Permanent Magnet Synchronous Motors with Nonlinear Kalman Filtering

Park

Wang

2018

Energies

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Abstract:The demand for sensorless control of surface-mounted permanent magnet synchronous motor drives has grown rapidly. Among various sensorless control techniques developed, Matsui's current model-based approach and the extended Kalman filter approach have gained much attention. However, the performance of these control methods can be severely worsened or may even become unstable under strong disturbances or sensing failures. This paper presents a comparative study of the extended Kalman filter, the resilient extended Kalman filter, and the unscented Kalman filter-based sensorless direct torque and flux control approaches for the surface-mounted permanent magnet synchronous motor drives. Computer simulation studies and hardware implementation results have shown the efficiency and superior performance of the resilient extended Kalman filter and the unscented Kalman filter over the traditional extended Kalman filter for sensorless direct torque control applications.

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Section: Introductionmentioning

confidence: 99%

Sensorless Direct Torque Control of Surface-Mounted Permanent Magnet Synchronous Motors with Nonlinear Kalman Filtering

Park

Wang

2018

Energies

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“…Due to its robustness to parameter uncertainties and external disturbances, simple implementation, and fast convergence rate [24], [25], [26], the nonlinear SMC is used here to implement the inner controller of the fault-tolerant FOC algorithm.…”

Section: Sliding Mode Controlmentioning

confidence: 99%

FPGA Based Robust Open Transistor Fault Diagnosis and Fault Tolerant Sliding Mode Control of Five-Phase PM Motor Drives

Salehifar¹,

Arashloo²,

Eguilaz³

et al. 2015

Journal of Power Electronics

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The voltage-source inverters (VSI) supplying a motor drive are prone to open transistor faults. To address this issue in faulttolerant drives applicable to electric vehicles, a new open transistor fault diagnosis (FD) method is presented in this paper. According to the proposed method, in order to define the FD index, the phase angle of the converter output current is estimated by a simple trigonometric function. The proposed FD method is adaptable, simple, capable of detecting multiple open switch faults and robust to load operational variations. Keeping the FD in mind as a mandatory part of the fault tolerant control algorithm, the FD block is applied to a five-phase converter supplying a multiphase fault-tolerant PM motor drive with nonsinusoidal unbalanced current waveforms. To investigate the performance of the FD technique, the fault-tolerant sliding mode control (SMC) of a five-phase brushless direct current (BLDC) motor is developed in this paper with the embedded FD block. Once the theory is explained, experimental waveforms are obtained from a five-phase BLDC motor to show the effectiveness of the proposed FD method. The FD algorithm is implemented on a field programmable gate array (FPGA).

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“…Linear state observers are constructed in the estimated synchronous reference frame to estimate the back-EMF by assuming it to be constant in a very short time, and rotor speed and position are sequentially extracted with arctangent or phase-locked loop (PLL) [9,10]. The SMO is employed to estimate the speed and position in the statorfixed reference frame [11][12][13][14]. Although the two-order SMO is very attractive for its simplicity and robustness against system noise, modifications are required to mitigate the chattering of SMO, such as replacing signum function with sigmoid/saturation function or constructing highorder SMO.…”

Section: Introductionmentioning

confidence: 99%

Sensorless Control of Permanent Magnet Synchronous Motors with Compensation for Parameter Uncertainty

Yang¹,

Mao²,

Chen³

2017

Journal of Electrical Engineering and Technology

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-Estimation errors of the rotor speed and position in sensorless control systems of Permanent Magnet Synchronous Motors (PMSM) will lead to low efficiency and dynamic-performance degradation. In this paper, a parallel-type extended nonlinear observer incorporating the nominal parameters is constructed in the stator-fixed reference frame, with rotor position, speed, and the load torque simultaneously estimated. The stability of the extended nonlinear observer is analyzed using the indirect Lyapunov's method, and observer gains are selected according to the transfer functions of the speed and position estimators. Taking into account the parameter inaccuracies issue, explicit estimation error equations are derived based on the error dynamics of the closed-loop sensorless control system. An equivalent flux error is defined to represent the back Electromotive Force (EMF) error caused by the inaccurate motor parameters, and a compensation strategy is designed to suppress the estimation errors. The effectiveness of the proposed method has been validated through simulation and experimental results.

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Discrete-Time Sliding Mode Observer for Sensorless Vector Control of Permanent Magnet Synchronous Machine

Cited by 200 publications

References 44 publications

Sensorless Direct Torque Control of Surface-Mounted Permanent Magnet Synchronous Motors with Nonlinear Kalman Filtering

Sensorless Direct Torque Control of Surface-Mounted Permanent Magnet Synchronous Motors with Nonlinear Kalman Filtering

FPGA Based Robust Open Transistor Fault Diagnosis and Fault Tolerant Sliding Mode Control of Five-Phase PM Motor Drives

Sensorless Control of Permanent Magnet Synchronous Motors with Compensation for Parameter Uncertainty

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