A Simple Startup Strategy Based on Current Regulation for Back-EMF-Based Sensorless Control of PMSM

Wang, Zihui; Lu, Kaiyuan; Blaabjerg, Frede

doi:10.1109/tpel.2012.2186464

Cited by 197 publications

(116 citation statements)

References 23 publications

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“…The general HF injection methods use many filters such as a band pass filter (BPF) and low pass filter (LPF) to eliminate the fundamental frequency and extract the HF signal and rotor position [4,[13][14][15]. As the number of filters increases, the time delay also increases, which causes an error in the estimated rotor position.…”

Section: Simple Methods For High-frequency Voltage Injectionmentioning

confidence: 99%

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A Simple Strategy for Sensorless Speed Control for an IPMSM During Startup and Over Wide Speed Range

Sim¹,

Lee²,

Lee³

2014

Journal of Electrical Engineering and Technology

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-This paper presents a hybrid sensorless control for an interior permanent magnet synchronous motor (IPMSM) for zero-, low-, and high-speed regions. Many sensorless control methods such as an observer-based estimator have been introduced. However, most of the observerbased estimators have a disadvantage at start-up and in the low-speed region. To solve this problem, a simple strategy of using a hybrid system is proposed by integrating a high-frequency (HF) signal injection method and a full-order flux observer. In addition, an HF signal injection method with only a low pass filter (LPF) is proposed to simplify the hybrid system. The hybrid system achieves highperformance drive throughout the entire speed range. The effectiveness of the proposed hybrid technique is verified by experiments using an 11-kW IPMSM drive system.

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Section: Simple Methods For High-frequency Voltage Injectionmentioning

confidence: 99%

“…In the industrial field, however, eliminating sensors is desirable because of the costs associated with sensor faults [1,2]. Hence, many sensorless vector control methods have been investigated, such as model-based methods and adaptive flux observers [3][4][5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

A Simple Strategy for Sensorless Speed Control for an IPMSM During Startup and Over Wide Speed Range

Sim¹,

Lee²,

Lee³

2014

Journal of Electrical Engineering and Technology

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“…To solve this problem, the sensorless control technology has been attracting attention, and various studies have been published over the past two decades or so [3][4][5][6]. Rotor position and speed estimation techniques can be approximately classified into two main categories according to its principle of estimating rotor position: the back electromotive force (EMF) voltage estimation strategy [6][7][8] and saliency-based estimation strategy [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…Rotor position and speed estimation techniques can be approximately classified into two main categories according to its principle of estimating rotor position: the back electromotive force (EMF) voltage estimation strategy [6][7][8] and saliency-based estimation strategy [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Sensorless Speed Control with Initial Rotor Position Estimation for Surface Mounted Permanent Magnet Synchronous Motor Drive in Electric Vehicles

Wang

Huang

et al. 2015

Energies

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Abstract:The accurate information of the initial rotor position is very critical for successful starting of the Surface-mounted Permanent Magnet Synchronous Motor (SPMSM). In order to solve the problems of low accuracy and unreliability in the conventional estimation strategy, in this paper, an improved initial rotor position estimation strategy without any position sensor for SPMSM at standstill is proposed based on rectangular pulse voltage injection. In the work, when the second series of pulse voltages were applied. By the ways of strengthening the effect of weakening or strengthening magnetic fields and increasing the difference between each current of the vector. The improved strategy enhanced reliability and raised the initial position estimation accuracy from 7.5° to 1.875°. The improved strategy does not need any additional hardware. Experimental results demonstrate the validity and usefulness of the improved strategy.

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“…To overcome these drawbacks, much research effort has gone into the development of sensorless drives that have comparable dynamic performance to sensor-based drives during the last decades. Among many different rotor position estimation schemes proposed for sensorless control of permanent magnet synchronous machines (PMSMs) [2]- [4], [14]- [22], the electromotive force (EMF)-based position estimation methods [2], [3] are one of the major techniques for medium and high-speed applications. However, due to the saliency of IPMSMs, the magnitudes of the back EMF or extended EMF [2] components depend on both operating conditions (e.g., rotor speed and load) and machine parameters (i.e., inductances and stator resistance).…”

mentioning

confidence: 99%

An Adaptive Quasi-Sliding-Mode Rotor Position Observer-Based Sensorless Control for Interior Permanent Magnet Synchronous Machines

Zhao

Wang

2013

IEEE Trans. Power Electron.

157

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Abstract-Advantages such as parameter insensitivity and high robustness to system structure uncertainty make the sliding-mode observer (SMO) a promising solution for sensorless control of interior permanent magnet synchronous machines (IPMSMs). In practical industry applications, in order to utilize digital controllers and achieve comparable performance under a lower sampling frequency, a discrete-time or quasi-SMO (QSMO) is commonly used. However, because of the saliency of an IPMSM, the magnitude of the extended electromotive force (EMF) will change with load (torque and/or speed) variations, which makes it challenging for the QSMO to estimate the extended EMF accurately. Without proper observer parameters, a phase shift will be observed in the QSMOestimated rotor position when the load changes. In order to overcome this problem, an adaptive QSMO using an online parameter adaption scheme is proposed to estimate the extended EMF components in an IPMSM, which are then used to estimate the rotor position of the IPMSM. The resulting position estimation has zero phase lags and is highly robust to load variations. The proposed adaptive QSMO is implemented on a 150-kW IPMSM drive system used in heavy-duty, off-road, hybrid electric vehicles. Testing results for ramp torque changes, four-quadrant operations, and complete torque reversals between full motoring and full braking modes are presented to verify the effectiveness of the proposed sensorless control algorithm.Index Terms-Adaptive observer, interior permanent magnet synchronous machine (IPMSM), position estimation, quasi-slidingmode observer (QSMO), sensorless control.

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A Simple Startup Strategy Based on Current Regulation for Back-EMF-Based Sensorless Control of PMSM

Cited by 197 publications

References 23 publications

A Simple Strategy for Sensorless Speed Control for an IPMSM During Startup and Over Wide Speed Range

A Simple Strategy for Sensorless Speed Control for an IPMSM During Startup and Over Wide Speed Range

Sensorless Speed Control with Initial Rotor Position Estimation for Surface Mounted Permanent Magnet Synchronous Motor Drive in Electric Vehicles

An Adaptive Quasi-Sliding-Mode Rotor Position Observer-Based Sensorless Control for Interior Permanent Magnet Synchronous Machines

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