Experimental Estimation of Inductance for Interior Permanent Magnet Synchronous Machine Considering Temperature Distribution

Choi, Chang-Ho; Lee, Wootaik; Kwon, Soon-O; Hong, Jung-Pyo

doi:10.1109/tmag.2013.2238550

Cited by 32 publications

(10 citation statements)

References 18 publications

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“…Therefore, it will be an advantage that the PM flux linkage estimation may be accomplished without the need to know the inverter voltage error, the inductance value and it should be insensitive to current measurement errors. Without involving the inductance makes it also possible that the estimated PM flux linkage may be further used for online inductance estimation, e.g., [5]. To serve this purpose, additional zero-voltage vector switching periods are inserted between the PWM periods commanded by the FOC PI controllers, as shown in Fig.…”

Section: Zero-voltage Injection For Pm Flux Linkage Estimationmentioning

confidence: 99%

“…Rotor PM flux linkage may be involved in some control strategies for PMSM, such as rotor position estimation [4]; inductance online measurement [5]. The accuracy of the used PM flux linkage value may affect these estimation accuracies and the drive performance consequently [3], [5].…”

Section: Introductionmentioning

confidence: 99%

“…The accuracy of the used PM flux linkage value may affect these estimation accuracies and the drive performance consequently [3], [5]. In additional, online estimation of the PM flux linkage may serve as condition monitoring for potential fault detection and necessary precautions may then be taken in time.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Permanent Magnet Flux Online Estimation Based on Zero-Voltage Vector Injection Method

Xie

Dwivedi

et al. 2015

IEEE Trans. Power Electron.

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In this paper, a simple and accurate method is proposed for online estimation of the rotor permanent magnet (PM) flux linkage for surface mounted PM synchronous machines. By advantageously utilizing an injected zero-voltage vector, the effects of inductance in estimating the PM flux linkage is eliminated. The inverter voltage error and phase resistive voltage drop effects are minimized by repeating the test at different speeds. Therefore, as a result, only the voltage commands are needed for PM flux linkage estimation, resulting in great simplicity. Filtering the current ripple caused by the zero-voltage vector injection is not necessary. The proposed method can be used with sensored or sensorless fieldoriented control strategies. The experimental results have shown a good accuracy of the proposed new method. Index Terms-Permanent magnet (PM) flux linkage estimation, permanent magnet synchronous machines (PMSM), zero-voltage injection.

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Section: Zero-voltage Injection For Pm Flux Linkage Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Permanent Magnet Flux Online Estimation Based on Zero-Voltage Vector Injection Method

Xie

Dwivedi

et al. 2015

IEEE Trans. Power Electron.

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“…In the electric-vehicle industry, it is believed that the torque tracking errors should be less than 5% in order to provide torque with tolerable precision with respect to the accelerator pedal position [7]. Widely used ideal models based on the orthogonal or decoupled d-and q-axes may be different from an actual system with cross-coupling effects and various parameter variations, as the operation of the IPMSM is strongly affected by the rotor magnetic saliency [8], core saturation [9], temperature [10], and armature reaction effects [11]. For this reason, the torque equation derived from an ideal model does not hold when…”

Section: Introductionmentioning

confidence: 99%

Adaptive Torque Estimation for an IPMSM with Cross-Coupling and Parameter Variations

Yang¹,

Mok

Lee

et al. 2017

Energies

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This paper presents a new adaptive torque estimation algorithm for an interior permanent magnet synchronous motor (IPMSM) with parameter variations and cross-coupling between d-and q-axis dynamics. All cross-coupled, time-varying, or uncertain terms that are not part of the nominal flux equations are included in two equivalent mutual inductances, which are described using the equivalent d-and q-axis back electromotive forces (EMFs). The proposed algorithm estimates the equivalent d-and q-axis back EMFs in a recursive and stability-guaranteed manner, in order to compute the equivalent mutual inductances between the d-and q-axes. Then, it provides a more accurate and adaptive torque equation by adding the correction terms obtained from the computed equivalent mutual inductances. Simulations and experiments demonstrate that torque estimation errors are remarkably reduced by capturing and compensating for the inherent cross-coupling effects and parameter variations adaptively, using the proposed algorithm.

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“…Model reference adaptive system will degrade. To solve this problem, many algorithms [9][10][11] can be used to compensate these parameter changes. These parameter estimation algorithms add cost and size to the system.…”

Section: Introductionmentioning

confidence: 99%

Stability analysis of sensorless speed control of IPMSM

Altaey

Kulaksız

2017

IEEJ Transactions Elec Engng

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In the speed control of an interior permanent magnet synchronous motor (IPMSM), for stability reasons, the closed-loop pole positions should be on the left-hand side of the S-plane, and for fast response requirements these poles should have a small time constant. Unfortunately, the motor poles have a very long time constant, which makes the system response very slow. To solve this problem, the zeros of PI controllers are used to compensate the motor poles. As the motor operates, the temperature increases, which changes the parameters of the motor and, accordingly, the motor poles change their position so the PI controller cannot compensate these poles. To solve this problem, many parameter estimation algorithms have been used to detect new parameter values and adapt the PI controller gains so that to compensate the motor poles continually. These parameter estimation algorithms complicate and add cost to the system. This paper demonstrates that, for a temperature up to 70 • C, the system is capable of giving fast response and stable operation by using a good design of the PI controller regardless of the parameter changes.

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Experimental Estimation of Inductance for Interior Permanent Magnet Synchronous Machine Considering Temperature Distribution

Cited by 32 publications

References 18 publications

Permanent Magnet Flux Online Estimation Based on Zero-Voltage Vector Injection Method

Permanent Magnet Flux Online Estimation Based on Zero-Voltage Vector Injection Method

Adaptive Torque Estimation for an IPMSM with Cross-Coupling and Parameter Variations

Stability analysis of sensorless speed control of IPMSM

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