Enhancing Low-Speed Sensorless Control of PMSM Using Phase Voltage Measurements and Online Multiple Parameter Identification

Wu, Chun; Zhao, Yuwei; Sun, Mingxuan

doi:10.1109/tpel.2020.2978200

Cited by 56 publications

(19 citation statements)

References 30 publications

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“…Other parameter-adaptive sensorless control methods treat the parameter estimation problem in new directions [102]- [104]. As mentioned before, the simultaneous estimation of the stator resistance and flux linkage in steady-state is rank-deficient.…”

Section: ) Other Approachesmentioning

confidence: 99%

“…As a possible limitation, the adopted method in [103] is only used for initial parameter determination, while the online estimation performance in rotating conditions is not validated. In [104], a straightforward parameter estimation method is proposed, in which the stator inductance is estimated by calculating the induced current magnitude under high-frequency voltage injection. The stator resistance is calculated by injecting a dc voltage into the αaxis.…”

Section: ) Other Approachesmentioning

confidence: 99%

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Observers for High-Speed Sensorless PMSM Drives: Design Methods, Tuning Challenges and Future Trends

et al. 2021

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Rotor position and speed estimation methods are consolidated to reduce the cost and volume of permanent magnet synchronous motor (PMSM) sensorless control drives while maintaining high performance. Advanced nonlinear algorithms require accurate design for precise estimation tracking throughout the entire PMSM operation range. This paper presents a broad review of the main high-speed estimation methods for sensorless PMSM drives. First, the stability constraints and design methodologies of the main estimation techniques presented in the literature are discussed. In the second part, it is investigated the new observer design trends, which are used under non-ideal conditions, such as robustness to distortions, the effects of parameter variation, sensorless parameter estimation, and low sampling-frequency-to-speed ratio operation. Future trends on the design of observers for high-speed sensorless PMSM drives are also discussed.INDEX TERMS High performance drives, permanent magnet synchronous motors, sensorless control, state observer design.

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Section: ) Other Approachesmentioning

confidence: 99%

Section: ) Other Approachesmentioning

confidence: 99%

Observers for High-Speed Sensorless PMSM Drives: Design Methods, Tuning Challenges and Future Trends

et al. 2021

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“…12b, it is observed that in interval-2, i a = i c and hence di a /dt = di c /dt. The DC bus voltage expression is obtained using (28) and (30)…”

Section: Calculation Of Interval-2 Time Durationmentioning

confidence: 99%

“…Hence, no additional filters are required in the proposed method. Also, the complexities and problems involved in high‐precision instantaneous voltage measurement methods such as low pass filter (LPF) with compensation [28], analogue integration based [23, 24], voltage controlled oscillator based [25], and digital integrators using fast analogue‐to‐digital converters [26] are not present. Thus, a simple hall effect based voltage transducers are used in the proposed method.…”

Section: Introductionmentioning

confidence: 99%

Quick and seamless transition method for I‐f to sensorless vector control changeover and on‐the‐fly start of PMSM drives

Nair

Hatua

Prasad

et al. 2020

IET Electric Power Applications

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A smooth changeover from the I‐f method to closed‐loop sensorless vector control is a critical requirement for permanent magnet synchronous motor (PMSM) drives using a back‐emf based sensorless algorithm for medium‐ to high‐speed range control. The existing methods provide a smooth transition by aligning the angle generated by I‐f control to the sensorless estimated angle. However, the overall start‐up time increases due to the additional transition interval, which limits the usability of these methods for applications requiring a quick start‐up. Furthermore, the use of a direct transition method to reduce the changeover time results in speed and current oscillation if the estimated position using sensorless algorithm is having an error. In the proposed method, the inverter pulses are disabled for a short duration and the machine back‐emf is measured after the stator current falls to zero. Therefore, a quick and seamless transition is achieved in the proposed method by accurately estimating the rotor position from the sensed back‐emf. The proposed method is also extended to perform on‐the‐fly start for power failure ride through during short time power supply interruption. The performance of the proposed method is verified using simulation and experiment on a 25 kW PMSM drive.

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“…Adaptive flux based sensorless control using phase voltage measurements and online resistance and inductance identification has been proposed in Reference 18. Robust online resistance and inductance identification are proposed to improve the accuracy and stability of sensorless control under different operation conditions.…”

Section: Introductionmentioning

confidence: 99%

Robust predictive sensorless control method for doubly fed induction generator controlled by matrix converter

Ortatepe

Karaarslan

2020

Int Trans Electr Energ Syst

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Matrix converter has many advantages such as no need for high value filters, capability of bidirectional energy conversion and no need for DC bus. Nevertheless, modulation methods are very difficult and require high computational effort. Therefore, model predictive control method has been implemented to simplify the complexity of this topology. However, the weakness of this control method is using mathematical model and affected by parameter changes due to the external disturbances, frequency and temperature variations. To eliminate the variations of rotor resistance and stator resistance, a reduced-order extended Kalman filter has been implemented as an observer to estimate them resulting from frequency and temperature variations, sensor noise or uncertainties. The algorithm is performed using TMS320F28335 digital signal processor that is a 32-bit floating-point processor operating at 150 MHz. Results obtained from experimental setup are compared with the previous studies and the performance of the proposed method is confirmed. K E Y W O R D S doubly fed induction generator, matrix converter, model predictive control, observer, power quality, reduced-order extended Kalman filter 1 | INTRODUCTION Matrix topology is a converter that can provide AC to AC power conversion and consists of bidirectional nine switches that are connected to each other. The output voltage is generated directly from the input voltage due to does not have large energy storage elements such as inductor or capacitor between input and output. Also, due to the switches are bidirectional,

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Enhancing Low-Speed Sensorless Control of PMSM Using Phase Voltage Measurements and Online Multiple Parameter Identification

Cited by 56 publications

References 30 publications

Observers for High-Speed Sensorless PMSM Drives: Design Methods, Tuning Challenges and Future Trends

Observers for High-Speed Sensorless PMSM Drives: Design Methods, Tuning Challenges and Future Trends

Quick and seamless transition method for I‐f to sensorless vector control changeover and on‐the‐fly start of PMSM drives

Robust predictive sensorless control method for doubly fed induction generator controlled by matrix converter

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