Discrete-time model of an IPMSM based on variational integrators

Specht, Andreas; Ober‐Blöbaum, Sina; Wallscheid, Oliver; Romaus, Christoph; Böcker, Joachim

doi:10.1109/iemdc.2013.6556322

Cited by 21 publications

(10 citation statements)

References 19 publications

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“…The term T αβdq (−T s ω) considers the rotation of the dq against the αβ coordinate system during one sampling period [43,44]. By rearranging (9) under the assumption of steady-state conditions the fundamental voltage u dq evaluates to:…”

Section: A Modulation Indexmentioning

confidence: 99%

Model Predictive Torque Control for Permanent- Magnet Synchronous Motors Using a Stator- Fixed Harmonic Flux Reference Generator in the Entire Modulation Range

Brosch

Wallscheid

Böcker

2023

IEEE Trans. Power Electron.

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Section: A Modulation Indexmentioning

confidence: 99%

Model Predictive Torque Control for Permanent- Magnet Synchronous Motors Using a Stator- Fixed Harmonic Flux Reference Generator in the Entire Modulation Range

Brosch

Wallscheid

Böcker

2023

IEEE Trans. Power Electron.

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“…The term T αβdq (−T s ω) in ( 7) considers the rotation of the dq against the αβ coordinate system during one sampling period [24,25]. For compactness, the parameter-varying matrices…”

Section: Discrete-time Ipmsm White-box Modelmentioning

confidence: 99%

Finite Set Sensorless Control With Minimum a Priori Knowledge and Tuning Effort for Interior Permanent Magnet Synchronous Motors

Brosch¹,

Tinazzi²,

Wallscheid³

et al. 2023

Preprint

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By applying rotor angle sensorless control methods the costs of the electrical drive can be decreased while its reliability is increased. Traditionally, the design of both the rotor angle estimator and the drive controller require a detailed motor model and manual tuning leading to significant effort by human experts. In this work, a rotor anisotropy-based sensorless control scheme for interior permanent magnet synchronous motors (IPMSM) is proposed that enables sensorless control with minimum tuning effort and a priori motor knowledge. Due to these characteristics the scheme is particularly suitable for self-commissioning or low-cost drive applications. The scheme contains a finite control set model predictive current controller (FCS-MPCC) with an additional inequality constraint that enables the identification of the motor model in the stator-fixed coordinate system by using the last three measurement samples. Utilizing an automatic system identification procedure, the motor model is determined online in a data-driven fashion. The identified motor model serves both as prediction model of the FCS-MPCC and as baseline for the rotor angle estimation via an eigenvalue decomposition approach. Challenging experimental investigations at standstill up to the medium speed range prove the applicability of the proposed approach. Here, highly dynamic speed and current transients can be handled by the proposed method.

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“…where T s is the sampling interval; k is the sampling index; s d =T s /l d and s q =T s /l q are the equivalent dynamic susceptances. Although the higher-order discretization methods [27] will improve the accuracy, the Euler approximation is usually adopted by the FCS-MPC of the electric motors [12][13] due to the sufficient precision at high sampling rate and the lowest calculation burden.…”

Section: A Ipmsm Modelmentioning

confidence: 99%

Ripple Excitation-Based Adaptive Sensorless Control of IPMSM in Full Speed Range

Chen¹,

Qu²,

Qiu

2023

IEEE Access

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This paper proposes an adaptive sensorless finite-control-set model predictive control (FCS-MPC) method for the interior permanent magnet synchronous motor (IPMSM). The method is feasible in the full speed range from zero speed to the flux-weakening region above rated speed, without the method transition between the low and the high speeds. A ripple excitation-based position estimation method is proposed to extract the rotor-saliency-based position information from the inherent voltage ripples of the FCS-MPC. Therefore, the additional voltage margin consumption, the special sampling timing, or the interference in the fundamental control are all avoided. Furthermore, to alleviate the parameter dependency, an adaptive predictive model with the online estimation of the lumped voltage terms and the equivalent dynamic susceptances is proposed. In this way, the main machine parameters and the unmodeled disturbances in the d-q voltage equations of the IPMSM are all considered. The position deviation due to the cross-coupling effect is also analyzed, and a compensation method is proposed. Finally, the effectiveness of the proposed method is validated by the experimental results and the comparison with existing methods.

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Discrete-time model of an IPMSM based on variational integrators

Cited by 21 publications

References 19 publications

Model Predictive Torque Control for Permanent- Magnet Synchronous Motors Using a Stator- Fixed Harmonic Flux Reference Generator in the Entire Modulation Range

Model Predictive Torque Control for Permanent- Magnet Synchronous Motors Using a Stator- Fixed Harmonic Flux Reference Generator in the Entire Modulation Range

Finite Set Sensorless Control With Minimum a Priori Knowledge and Tuning Effort for Interior Permanent Magnet Synchronous Motors

Ripple Excitation-Based Adaptive Sensorless Control of IPMSM in Full Speed Range

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