New Sensorless Control for Interior Permanent Magnet Synchronous Motors of Electric Vehicle

Shi, Chunhu; Luo, Jian; Huang, Jun Ge; Yu, Zhuofei; Wen, Chuanxin

doi:10.1109/ei2.2018.8582255

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Cited by 4 publications

(2 citation statements)

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“…A couple of methods are available for the Back EMF estimation. Among them, Kalman filter methods [2], model reference adaptive methods [3], and observer methods [4], [5] are the most commonly used. The position of the rotor is then obtained from the estimated Back EMF.…”

Section: Introductionmentioning

confidence: 99%

Simplified Quadratic Optimization-Based IPMSM Full-Speed Range Rotor Position Estimation in Synchronous Rotating Frame

Peng

Cao

Dong

et al. 2021

IEEE Trans. Transp. Electrific.

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Section: Introductionmentioning

confidence: 99%

Simplified Quadratic Optimization-Based IPMSM Full-Speed Range Rotor Position Estimation in Synchronous Rotating Frame

Peng

Cao

Dong

et al. 2021

IEEE Trans. Transp. Electrific.

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“…The key of MTPA control is to obtain the MTPA point. At present, the common methods mainly included formula calculation method [14], look-up table method [15], curve fitting method [16], search algorithm [17] and high-frequency signal injection method [18]. Among them, the formula calculation method with motor parameters is extensively used because of its simple process.…”

Section: Introductionmentioning

confidence: 99%

Sensorless-MTPA Control of Permanent Magnet Synchronous Motor Based on an Adaptive Sliding Mode Observer

Shi

Wang

et al. 2019

Energies

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Different from the traditional method of the interior permanent magnet synchronous motor (IPMSM), the sensorless maximum torque per ampere (MTPA) control scheme in this paper does not need two observers for rotor position and d-q axis inductances, respectively. It only needs an adaptive sliding mode observer (ASMO) based on the extended flux (EF) to realize double-loop control and MTPA operation simultaneously. The adaptive mechanism of rotor speed is designed to ensure stability of the ASMO. The rotor position and the difference between d-axis and q-axis inductances are obtained from the estimated EF to acquire the MTPA points when the position sensor of the IPMSM is absent. The proposed scheme is realized on a 20kW IPMSM where the sensorless control performance and the MTPA control performance are tested. The effectiveness of the proposed method is verified by the experiment results.

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Full Range High Dynamic Sensorless Control of Fractional Slot Concentrated Winding Machine

Klaes

Schmidt

Dao

et al. 2020

IECON 2020 the 46th Annual Conference of the IEEE Industrial Electronics Society

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New Sensorless Control for Interior Permanent Magnet Synchronous Motors of Electric Vehicle

Cited by 4 publications

References 4 publications

Simplified Quadratic Optimization-Based IPMSM Full-Speed Range Rotor Position Estimation in Synchronous Rotating Frame

Simplified Quadratic Optimization-Based IPMSM Full-Speed Range Rotor Position Estimation in Synchronous Rotating Frame

Sensorless-MTPA Control of Permanent Magnet Synchronous Motor Based on an Adaptive Sliding Mode Observer

Full Range High Dynamic Sensorless Control of Fractional Slot Concentrated Winding Machine

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