Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview

Zhu, Z. Q.; Liang, Dawei; Liu, Kan

doi:10.1109/access.2021.3072959

Cited by 117 publications

(39 citation statements)

References 152 publications

(218 reference statements)

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“…In fact, through precise numerical analysis, the thermal distribution of components in a machine can be acquired theoretically. As discussed in [17], the LPTN methods are not outstanding in applicable operating areas. In [18], possibilities of LPTNs are listed as transient thermal analysis and convection cooling.…”

Section: Sectional Discussionmentioning

confidence: 99%

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A Review of Thermal Monitoring Techniques for Radial Permanent Magnet Machines

Meng

Zhang

2021

Machines

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Permanent magnet machines are widely applied in motor drive systems. Therefore, condition monitoring of permanent magnet machines has great significance to assist maintenance. High temperatures are accountable for lots of typical malfunctions and faults, such as demagnetization of the permanent magnet (PM) and inter-turn short circuit of stator windings. Therefore, temperature monitoring of the PM and stator windings is essential for reliable operation. In this paper, an overview introducing and evaluating existing thermal monitoring methods is presented. First, the mechanism of thermal-caused failures for the PM and stator windings is introduced. Then, the design procedure and principles of existing temperature monitoring methods are introduced and summarized. Next, the evaluations and recommendations of application feasibility are demonstrated. Finally, the potential future challenges and opportunities for temperature monitoring of the PM and stator windings are discussed.

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Section: Sectional Discussionmentioning

confidence: 99%

“…Relying on reasonable measurements and specifications, the heat generation and conduction are derived or numerically solved to calculate the temperature in thermal model- The heat transfer function in cylindrical coordinates (r, z, ϕ) is shown as follows [17]:…”

Section: Thermal Model-based Methods For Temperature Monitoringmentioning

confidence: 99%

A Review of Thermal Monitoring Techniques for Radial Permanent Magnet Machines

Meng

Zhang

2021

Machines

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“…Although we hope that the inductance and flux linkage are constants, when the current is injected, the magnetic saturation will change slightly so that the motor parameters may change to different degrees [10]. Thus, the two sets of PMSM state equations can be combined as a whole system to give…”

Section: Pmsm Model Including Vsi Nonlinearitymentioning

confidence: 99%

“…Since the current injection can be completed in a very short period of time, and for SPMSM, the additional reluctance torque caused by the injected d -axis current can be neglected [10], the electromagnetic torque at i d = 0 and i d = 0 can be expressed as…”

Section: Pmsm Model Including Vsi Nonlinearitymentioning

confidence: 99%

Online Parameter Estimation of Surface‐Mounted Permanent Magnet Synchronous Machine Based on Variable‐Step Neural Network

Tang,

Jiang,

2021

IEEJ Transactions Elec Engng

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This paper proposes a multiparameter estimation method for surface‐mounted permanent magnet synchronous machine (SPMSM) under constant load torque, of which the variations of dq‐axis inductances and rotor flux linkage have been taken into consideration. Second, the voltage equations will be transformed to eliminate the distorted voltage caused by the voltage‐source inverter nonlinearity. On this basis, an improved variable‐step Adaline neural network algorithm based on hyperbolic tangent function is proposed to estimate the parameters of SPMSM online, which can increase the convergence speed and reduce the steady‐state errors compared to the traditional algorithm. Finally, in view of the high sensitivity of inductance, another new method that can reduce the fluctuation rate is proposed. In addition, the effectiveness of these methods is verified through experiments on a small‐power SPMSM. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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“…Specifically, we will investigate two offline methods, the flux linkage map (FLM) identification (see Section 2.2.1) [13][14][15] and the frequency domain identification at standstill (see Section 2.2.2) to obtain the stator inductance values. Among other online parameters estimation methods [16][17][18][19] we focus on the recursive least squares method (RLS) and high-frequency injection-based inductance estimation [20]. In the majority of articles on parameters, estimation focuses only on the convergence of the estimation method [21,22] and not on the performance of the closed loop or efficiency.…”

Section: Introductionmentioning

confidence: 99%

Dependence of IPMSM Motor Efficiency on Parameter Estimates

et al. 2021

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The efficiency of an IPMSM motor is influenced by the operating point of the machine. Conventional approaches to generate measured efficiency maps may be too expensive to use in some situations, thus it often replaced by simpler variants based on parametric models. A promising approach is to combine model-based approaches with online parameter identification methods which would allow following changes of the parameters. However, such approaches may also result in deteriorated performance if the online parameter estimation is inaccurate. We present a systematic experimental study of the influence of the parameter estimates on the efficiency of a 4.5 kW IPMSM drive and analyze the sources of inaccuracy. The first outcome of this study is that none of the tested methods performs well when the machine is fully loaded, which deteriorates overall performance. The second outcome is that the conventional maximum torque per ampere/current (MTPA/MTPC) is not an accurate optimization criterion. The overall performance of the compared methods thus heavily depends on the testing profile. When a significant part of the profile is at full load, the methods based on online estimation are unsuitable and parameters estimated offline using frequency domain provides better efficiency under the maximum torque per current control strategy.

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Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview

Cited by 117 publications

References 152 publications

A Review of Thermal Monitoring Techniques for Radial Permanent Magnet Machines

A Review of Thermal Monitoring Techniques for Radial Permanent Magnet Machines

Online Parameter Estimation of Surface‐Mounted Permanent Magnet Synchronous Machine Based on Variable‐Step Neural Network

Dependence of IPMSM Motor Efficiency on Parameter Estimates

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