ADALINE-Network-Based PLL for Position Sensorless Interior Permanent Magnet Synchronous Motor Drives

Zhang, Guoqiang; Wang, Gaolin; Xu, Dianguo; Zhao, Nannan

doi:10.1109/tpel.2015.2424256

Cited by 237 publications

(79 citation statements)

References 36 publications

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“…It can be inferred from (14) that the speed estimation error is merely caused by the back-EMF error of the -q axis, relating to …”

Section: Estimation Errors Analysismentioning

confidence: 99%

“…Substituting the equivalent flux error into (14) and (16), the estimation errors of the speed and position can be reexpressed as:…”

Section: Compensation For Parameter Uncertaintiesmentioning

confidence: 99%

“…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%

See 2 more Smart Citations

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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“…It can be inferred from (14) that the speed estimation error is merely caused by the back-EMF error of the -q axis, relating to …”

Section: Estimation Errors Analysismentioning

confidence: 99%

“…Substituting the equivalent flux error into (14) and (16), the estimation errors of the speed and position can be reexpressed as:…”

Section: Compensation For Parameter Uncertaintiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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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“…The information about instantaneous grid voltage phase and frequency are usually obtained via phase lock loop (PLL), which is of vital importance to maintain synchronization and stable operation for grid-connected power electronic devices [1][2][3][4][5]. Recently, the presence of DC offsets and harmonics in grid voltages caused by measurement devices, nonlinear loads and grid faults throws down a new challenge to the synchronization technique [6].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Phase-Locked Loop for Distorted Three-Phase Systems

Cao

et al. 2017

Energies

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This paper proposed an efficient phase-locked loop (PLL) that features zero steady-state error of phase and frequency under voltage sag, phase jump, harmonics, DC offsets and step-and ramp-changed frequency. The PLL includes the sliding Goertzel discrete Fourier transform (SGDFT) filter-based fundamental positive sequence component separator (FPSCS), the synchronous-reference-frame PLL (SRF-PLL) and the secondary control path (SCP). In order to obtain an accurate fundamental positive sequence component, SGDFT filter is introduced as it features better filtering ability at the frequencies that are integer times of fundamental frequency. Meanwhile, the second order Lagrange-interpolation method is employed to approximate the actual sampling number including both integer and fractional parts as grid frequency may deviate from the rated value. Moreover, an improved SCP with single-step comparison filtering algorithm is employed as it updates reference angular frequency according to the FPSC, which promises a zero steady-state error of phase and improves the frequency tracking speed. In this paper, the mathematical model of the proposed PLL is constructed, its stability is analyzed. Also, design procedure of the control parameters is presented. The effectiveness of the proposed PLL is confirmed by experimental results and comparison with advanced pre-filtering PLLs.

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“…However, it suffers from chattering and phase delay problems. In addition, modifications are required to mitigate the chattering of the SMO, such as replacing the signum function with the sigmoid/saturation function or constructing a high-order SMO by taking the current and back-EMF as state variables [11], [12].…”

Section: Introductionmentioning

confidence: 99%

Sensorless IPMSM Control Based on an Extended Nonlinear Observer with Rotational Inertia Adjustment and Equivalent Flux Error Compensation

Mao¹,

Yang²,

Yin³

et al. 2016

Journal of Power Electronics

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Mechanical and electrical parameter uncertainties cause dynamic and static estimation errors of the rotor speed and position, resulting in performance deterioration of sensorless control systems. This paper applies an extended nonlinear observer to interior permanent magnet synchronous motors (IPMSM) for the simultaneous estimation of the rotor speed and position. Two compensation methods are proposed to improve the observer performance against parameter uncertainties: an on-line rotational inertia adjustment approach that employs the gradient descent algorithm to suppress dynamic estimation errors, and an equivalent flux error compensation approach to eliminate static estimation errors caused by inaccurate electrical parameters. The effectiveness of the proposed control strategy is demonstrated by experimental tests.

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ADALINE-Network-Based PLL for Position Sensorless Interior Permanent Magnet Synchronous Motor Drives

Cited by 237 publications

References 36 publications

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

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

An Efficient Phase-Locked Loop for Distorted Three-Phase Systems

Sensorless IPMSM Control Based on an Extended Nonlinear Observer with Rotational Inertia Adjustment and Equivalent Flux Error Compensation

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