Motor Temperature Monitoring Based on Impedance Estimation at PWM Frequencies

Popov, Nikola Z.; Vukosavić, Slobodan N.; Levi, E.

doi:10.1109/tec.2013.2292566

Cited by 49 publications

(8 citation statements)

References 20 publications

(35 reference statements)

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“…Conventional temperature estimation models can be divided into two major classes. A model of the first-class uses electrical parameters that have values varying according to the temperature [2]- [5]. The block diagram of the first-class model is shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Temperature Estimation of PMSM Using a Difference-Estimating Feedforward Neural Network

Lee

Park

2020

IEEE Access

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Keeping the temperature of a permanent magnet synchronous machine (PMSM) in a safe range is essential for maintaining machine performance. In this paper, a feedforward neural network (FNN) for the temperature estimation of a PMSM is proposed. An FNN obtains the past temperature and operating condition values and gives the temperatures information at the next moment. Similar to a thermal-circuit-based model, the proposed model estimates the temperatures of multiple parts of interest with a heat point of view. The proposed FNN estimates the temperature differences, rather than the temperatures, and can enhance the learning and estimation performance of the FNN. Various FNN structures are compared, and the model generation steps are presented. For the experiments performed, where the temperature of the PMSM changes from 20 to 130 °C, the best FNN-based model showed closed-loop estimation errors less than 4.5 °C for the side of the permanent magnet and four parts on the winding, even in 2 hours of closed-loop estimation.

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Section: Introductionmentioning

confidence: 99%

Temperature Estimation of PMSM Using a Difference-Estimating Feedforward Neural Network

Lee

Park

2020

IEEE Access

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“…ERMANENT magnet synchronous machines (PMSMs) manifest superior advantages of high efficiency, high torque density and fast dynamics, and thus been widely applied to modern civil and industrial equipment. Since the PMSMs are mostly supplied from pulse-width modulation (PWM) controlled inverters [1], there exists large amounts of time harmonics inside the motor components which will generate eddy-current and hysteresis losses. Once overloaded, the elevated temperature rises introduced by the losses may cause accelerated aging of the winding insulation [2], diminish the magnetic properties of the PMs [3], and limit the torque output.…”

Section: Introductionmentioning

confidence: 99%

Coupled electromagnetic-thermal-fluidic analysis of permanent magnet synchronous machines with a modified model

Zhu

Liu

et al. 2019

Trans. Electr. Mach. Syst.

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The researches on the heat generation and dissipation of the permanent magnet synchronous machines (PMSMs) are integrated problems involving multidisciplinary studies of electromagnetism, thermomechanics, and computational fluid dynamics. The governing equations of the multi-physical problems are coupled and hard to be solved and illustrated. The high accuracy mathematical model in the algebraically integral conservative forms of the coupled fields is established and computed in this paper. And the equation coupling with the fluid flow and the temperature variation is modified to improve the positive definiteness and the symmetry of the global stiffness matrix. The computational burden is thus reduced by the model modification. A 20kW 4500rpm permanent magnet synchronous machine (PMSM) is taken as the prototype, and the calculation results are validated by experimental ones. Index Terms-Cell method (CM), model modification, multi-physics coupled problems, permanent magnet synchronous machine (PMSM).

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“…Therefore, estimation of stator resistance is even more critical in DTC synchronous motors than in DTC induction motors. Accurate stator resistance estimation is also important in thermal monitoring and management of synchronous motors to achieve optimal operating point or to prevent overheating [13], [14]. Several methods are proposed in the literature to track stator resistance variations in DTC synchronous motors.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Stator Resistance in Direct Torque Control Synchronous Motor Drives

Sangsefidi

Ziaeinejad

Mehrizi‐Sani

et al. 2015

IEEE Trans. Energy Convers.

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Direct torque control (DTC) is a high-performance method that provides effective control of stator flux modulus and electromagnetic torque of electric motors. However, error in estimation of stator resistance significantly degrades the performance of a DTC drive system, especially for a synchronous motor. This paper discusses the problems associated with the error in stator resistance and proposes an analytical approach to investigate its effect on the actual and estimated variables of a synchronous motor. Based on how this error affects the estimated angle between the stator flux and current vectors, a method to track stator resistance variations is proposed. The presented analytical method and the proposed stator resistance estimation are validated using simulation and experimental case studies.

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Motor Temperature Monitoring Based on Impedance Estimation at PWM Frequencies

Cited by 49 publications

References 20 publications

Temperature Estimation of PMSM Using a Difference-Estimating Feedforward Neural Network

Temperature Estimation of PMSM Using a Difference-Estimating Feedforward Neural Network

Coupled electromagnetic-thermal-fluidic analysis of permanent magnet synchronous machines with a modified model

Estimation of Stator Resistance in Direct Torque Control Synchronous Motor Drives

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