Self-adaptive high-frequency injection based sensorless control for IPMSM and SynRM

Alberti, Luigi; Bottesi, Omar; Calligaro, Sandro; Kumar, Piyush; Petrella, Roberto

doi:10.1109/sled.2017.8078437

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…14. The position error θ err e reaching up to 17 degrees is similar to the values obtained by experiments with already proposed methods [18], [21], [32], however, superior performance was demonstrated in [16], [33]. The position error θ err e peaked during speed and torque dynamic changes, which is also visible asL d andL q inductance estimation disturbances, however, the steady-state position error θ err e mostly stayed below 10 degrees.…”

Section: Speedsupporting

confidence: 83%

See 1 more Smart Citation

Synchronous Reluctance Motor Parameter and State Estimation Using Extended Kalman Filter and Current Derivative Measurement

Mynář

Václavek

Blaha

2021

IEEE Trans. Ind. Electron.

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The synchronous reluctance motor is becoming a very attractive alternative to the AC induction machine. This is due to the lack of rare-earth metals in their construction and a higher efficiency, which was brought about by recent progress in rotor design. However, in order to achieve an efficient and low-cost operation of the synchronous reluctance motor drive, an adaptive sensorless algorithm should be utilized to cope with machine non-linearities. This paper describes an adaptive observer, which can provide an estimation of rotor position and speed, as well as core loss and inductance parameters. A modified PWM switching scheme and a current derivative measurement method are proposed, together with an extended Kalman Filter design. Experimental results are shown to demonstrate method performance and feasibility.

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Section: Speedsupporting

confidence: 83%

“…These can be classified based on the operational speed range. Significant rotor anisotropy is exploited by high-frequency injection (HFI) algorithms, which can operate in the low-speed range [15]- [18]. Algorithms based on extended electromotive force (EMF) are then used in the medium-high speed range [19], [20].…”

Section: Introductionmentioning

confidence: 99%

Synchronous Reluctance Motor Parameter and State Estimation Using Extended Kalman Filter and Current Derivative Measurement

Mynář

Václavek

Blaha

2021

IEEE Trans. Ind. Electron.

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“…The additional introduction of a method for regulating the "strength" of the useful HF signal (i.e., the amplitude of HF anisotropy-related current) allows to apply a proper voltage injection, which may be optimized in terms of robustness or in order to minimize losses, acoustic noise and vibrations. In order to obtain these results, on-line estimation and adaptation of the gains of the PLL, presented for the first time in [24], is applied, so that the design of the estimation loop gains and filters can be performed without any prior knowledge about the motor differential inductances. A certain set of PLL parameters, in fact, achieves approximately the same dynamical performance in position and speed estimation on any motor (provided that it exhibits sufficient anisotropy) and under different operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Self-Adaptive High-Frequency Injection Based Sensorless Control for Interior Permanent Magnet Synchronous Motor Drives

et al. 2019

Self Cite

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An auto-tuning and self-adaptation procedure for High Frequency Injection (HFI) based position and speed estimation algorithms in Interior Permanent Magnet Synchronous Motor (IPMSM) drives is proposed in this paper. Analytical developments show that, using conventional approaches, the dynamics of the high-frequency tracking loop varies with differential inductances, which in turn depend on the machine operating point. On-line estimation and adaptation of the small signal gain of the loop is proposed here, allowing accurate auto-tuning of the sensorless control scheme which does not rely on a priori knowledge of the machine parameters. On-line adaptation of Phase-Locked Loop (PLL) gains and of the injected voltage magnitude is also possible, leading to important advantages from the performance, loss and acoustic point of view. The theoretical basis of the method has been introduced first and the main concept demonstrated by means of simulations. Implementation has been carried out using the hardware of a commercial industrial drive and two Interior Permanent Magnet Synchronous Motors, namely a prototype and an off-the-shelf machine. Experimental tests demonstrate the feasibility and effectiveness of the proposal.

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An Amplitude-Adaption High-Frequency Signal Injection Method for SynRMs at Zero-Low Speed

Chen,

Fan

et al. 2023

J. Electr. Eng. Technol.

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Self-adaptive high-frequency injection based sensorless control for IPMSM and SynRM

Cited by 6 publications

References 12 publications

Synchronous Reluctance Motor Parameter and State Estimation Using Extended Kalman Filter and Current Derivative Measurement

Synchronous Reluctance Motor Parameter and State Estimation Using Extended Kalman Filter and Current Derivative Measurement

Self-Adaptive High-Frequency Injection Based Sensorless Control for Interior Permanent Magnet Synchronous Motor Drives

An Amplitude-Adaption High-Frequency Signal Injection Method for SynRMs at Zero-Low Speed

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