A Hybrid Sensorless Controller of an Interior Permanent Magnet Synchronous Machine Using Current Derivative Measurements and a Sliding Mode Observer

Bui, Minh Xuan; Rahman, M.F.; Xiao, Dan

doi:10.1109/tia.2019.2949532

Cited by 22 publications

(11 citation statements)

References 27 publications

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“…It is worth mentioning that non-invasive saliency based PE is also possible, see e.g., [64] for a non-invasive detection of position from the switching function slopes in SM motor control. There is also a trend trying to extending the near zero-frequency performance of model based SAs by combining with saliency based PE [29], [31]- [33], [65]- [73].…”

Section: Magnetic Asymmetry (Saliency) Based Is-pementioning

confidence: 99%

See 1 more Smart Citation

Overview of Fundamental Frequency Sensorless Algorithms for AC Motors: a Unified Perspective

Mei¹,

Zuo²,

Zhu³

et al. 2022

Preprint

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This paper reviews sensorless algorithms for both induction motors and permanent magnet motors using the active flux model, such that any design applicable for non-salient pole ac motors can also be included in the review framework. The proposed review framework classifies all sensorless algorithms following a five-layer hierarchy abbreviated as O-I-M-A-I, resulting in four main categories as i) inherently sensorless position estimation, ii) non-inherently sensorless position estimation, iii) post-position-estimation speed estimation, and iv) speed estimation for indirect field orientation. Various ac motor models are derived by assuming a constant active flux amplitude, based on which seven generic sensorless algorithms are summarized in a tutorial. Recommendations are made for sensorless drive designers to begin with inherently sensorless method such that the two-way coupling between position estimation and speed estimation is avoided. Finally, classical induction motor model results from time-varying active flux amplitude and slip relation, for which a state transformation is recommended for achieving global stability.<br>

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Section: Magnetic Asymmetry (Saliency) Based Is-pementioning

confidence: 99%

“…The current error in (25) that is based on the assumption (i) from Sec. II-A can be used to build a speedadaptive voltage model in dq-frame [67], [73].…”

Section: B Non-is Variants Of Sa1/3mentioning

confidence: 99%

Overview of Fundamental Frequency Sensorless Algorithms for AC Motors: a Unified Perspective

Mei¹,

Zuo²,

Zhu³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…If the position estimation algorithm does not fail, θ(k) will be very close to zero. Therefore, (22) becomes…”

Section: High-frequency Signal Injection At Standstill To Low Speedmentioning

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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“…One of the robust control methods that can deal with uncertainty is sliding mode control (SMC). SMC has often been used as sliding mode observers for position estimation to avoid the performance deterioration from electrical disturbance [22], [23]. Conventional models for sliding mode observers utilize general voltage equations without considering dq-axis mutual inductance.…”

Section: Introductionmentioning

confidence: 99%

Position and Cross-Coupling Factors Estimation for Sliding Mode Current Control Based Position-Sensorless Control of IPMSM

Shimamoto

Murakami

2022

IEEE Access

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This paper presents a control method with an estimation method of cross-coupling factors of Interior Permanent Magnet Synchronous Motors (IPMSM) inductance for position-sensorless servo drive systems. The cross-coupling factors are from dq-axis mutual inductance. Conventionally, the cross-coupling factors have been ignored in the IPMSM model and deteriorate control performance. That has caused decreasing robustness and velocity vibration in the low-speed range. Since the cross-coupling factors vary with the rotor position and the current, it is hard to measure them. Therefore, the proposed method utilizes a high-frequency voltage injection method to estimate the cross-coupling factors online. In addition, the proposed current control method utilizes a sliding mode control and voltage disturbance observer based on the voltage equation, including the dq-axis mutual inductance model. The estimated cross-coupling factors are reflected in the proposed current controller instantaneously. Experimental results show that the proposed method considering cross-coupling factors increases the robustness to the disturbance force and reduces the velocity vibration.

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A Hybrid Sensorless Controller of an Interior Permanent Magnet Synchronous Machine Using Current Derivative Measurements and a Sliding Mode Observer

Cited by 22 publications

References 27 publications

Overview of Fundamental Frequency Sensorless Algorithms for AC Motors: a Unified Perspective

Overview of Fundamental Frequency Sensorless Algorithms for AC Motors: a Unified Perspective

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

Position and Cross-Coupling Factors Estimation for Sliding Mode Current Control Based Position-Sensorless Control of IPMSM

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