Sensorless Control of IPMSM Using Moving-Average-Filter Based PLL on HF Pulsating Signal Injection Method

Li, Haoyuan; Zhang, Xing; Xu, Chengjun; Hong, Jianfeng

doi:10.1109/tec.2019.2946888

Cited by 42 publications

(5 citation statements)

References 21 publications

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“…The IAS has been considered for years as a very effective signal in the context of machine diagnostics [1,27,28] and its estimation from electrical measurements has generated a lot of work, especially in the area of control and diagnostics, using observers [29][30][31] or signal processing methods [32][33][34]. To determine instantaneous frequency and phase of the current generated by a PMSG with only one current measurement, one solution consists in using a phase locked loop (P.L.L) [35]. This solution allows simultaneous estimation of IF(t) and IP(t) and has been used extensively in power grid monitoring [36][37][38].…”

Section: Refmentioning

confidence: 99%

A Tacholess Order Analysis Method for PMSG Mechanical Fault Detection with Varying Speeds

et al. 2021

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This article deals with the detection of mechanical faults in synchronous machines from single current measurement at variable speed. The proposed approach is based on an order tracking method in which the analysis signal is sampled as a function of the mechanical angle. In this case, the spectral components become independent of the speed and the frequency analysis can be exploited. Order tracking is generally implemented from a position measurement. In this work we present a method that allows us to estimate this position and the analysis signal from only one current measurement. The proposed approach allows an intuitive adjustment of the algorithm parameters. Secondly, a statistical method is used to finalize the diagnosis. At variable speed, this type of method is difficult to implement and we show that order tracking makes it possible to simplify the analysis. The procedure is tested in simulation and on a experimental test bench.

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Section: Refmentioning

confidence: 99%

A Tacholess Order Analysis Method for PMSG Mechanical Fault Detection with Varying Speeds

et al. 2021

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“…Currently, the main position-sensorless control algorithms of PMSMs are the highfrequency signal injection method [17,18], the extended Kalman filter method [19,20], the sliding-mode observer (SMO) method [21,22], the model reference adaptive method [23,24], etc. Among them, the high-frequency signal injection method is not sensitive to changes in motor parameters and can accurately estimate the position at zero or low velocity.…”

Section: Introductionmentioning

confidence: 99%

Study on a Second-Order Adaptive Sliding-Mode Observer Control Algorithm for the Sensorless Permanent Magnet Synchronous Motor

et al. 2023

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The control of a permanent magnet synchronous motor (PMSM) without a position sensor based on a sliding-mode observer (SMO) algorithm has a serious jitter problem in the process of motor phase tracking. A second-order adaptive sliding-mode observer algorithm was proposed, and the ideas and principles of the second-order sliding-mode observer algorithm based on the super-twisting algorithm were elaborated. In particular, adaptive estimation with the introduction of back-electromotive force (EMF) was investigated, and the Lyapunov stability criterion was used to determine the convergence properties of the algorithm. The results showed that the second-order adaptive sliding-mode observer algorithm had better jitter suppression and a better phase tracking performance than the traditional sliding-mode observer algorithm. The experimental results showed that when the motor velocity was 800 r/min, the velocity error of the second-order adaptive sliding-mode observer algorithm was 0.57 r/min and the position error was 0.018 rad, with accuracy improvements of 93.63% and 58.34%, respectively. When the motor velocity was 1000 r/min, the velocity error of the second-order adaptive sliding-mode observer algorithm was 0.94 r/min and the position error was 0.022 rad, with accuracy improvements of 90.55% and 55.10%, respectively. The jitter of the system was suppressed well, the curve of back-EMF was smoother, and the robustness of the system was high. Therefore, the second-order adaptive sliding-mode observer algorithm is more suitable for the position-sensorless control of a PMSM.

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“…In practical engineering applications, the speed operating conditions of IPMSM are usually divided into two cases: zero-low speed and medium-high speed. The model method is usually used for medium and high-speed conditions, and this method mainly uses back electromotive force (EMF) to estimate the rotor position [8,9], which has good performance. However, at zero and low speed, EMF is very small or even close to zero, which is difficult to detect and is not suitable for zero and low speed situations [10,11].…”

Section: Introductionmentioning

confidence: 99%

Sensorless Control of Interior Permanent Magnet Synchronous Motor with Triangular Transform Current Self-demodulation in the Estimating d-q Axis

Wen,

Zhu,

Cheng

et al. 2023

PIER B

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To address the issues of complex current demodulation, large rotor position estimation error, and position estimation error varying with speed in the high-frequency (HF) rotating voltage injection (HRVI) method for interior permanent magnet synchronous motor (IPMSM), a sensorless control of IPMSM with triangular transform (TT) current self-demodulation in the estimating d-q axis is proposed. Firstly, the HF currents estimated on the d and q axes are multiplied, and the resulting signal is constructed through TT to achieve phase shift compensation of positive and negative sequence HF currents. At the same time, a position error signal is constructed. Then, a low-pass filter is used to extract the position error signal and achieve self-demodulation of the current. The experimental results show that this method reduces the average position error by 15.0% under steady-state conditions and reduces the fluctuation range of position error by 17.6% under full load conditions.

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Sensorless Control of IPMSM Using Moving-Average-Filter Based PLL on HF Pulsating Signal Injection Method

Cited by 42 publications

References 21 publications

A Tacholess Order Analysis Method for PMSG Mechanical Fault Detection with Varying Speeds

A Tacholess Order Analysis Method for PMSG Mechanical Fault Detection with Varying Speeds

Study on a Second-Order Adaptive Sliding-Mode Observer Control Algorithm for the Sensorless Permanent Magnet Synchronous Motor

Sensorless Control of Interior Permanent Magnet Synchronous Motor with Triangular Transform Current Self-demodulation in the Estimating d-q Axis

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