Active Thermal Management for Interior Permanent Magnet Synchronous Machine (IPMSM) Drives Based on Model Predictive Control

Sun, Tianfu; Wang, Jiabin; Griffo, Antonio; Sen, Bhaskar

doi:10.1109/tia.2018.2843350

Cited by 19 publications

(10 citation statements)

References 18 publications

(27 reference statements)

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“…Therefore, the load can be increased in controlled conditions for short-time operations. Measurement or estimation of temperature lets operators make wise decisions in such conditions to ensure high reliability, while costs are minimized [128,139,140].…”

Section: Thermal Managementmentioning

confidence: 99%

An overview of thermal modelling techniques for permanent magnet machines

Khalesidoost

Faiz

Mazaheri‐Tehrani

2022

IET Science Measure & Tech

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Permanent magnet (PM) machines have gained increasing attention from the industry because of their potential merits over conventional electrical machines. High‐temperature level in electrical machines is a major factor that can adversely impact the performance and health conditions of these machines. These effects need to be minimized to make them competitive with currently operational machines in the industry. It can be done by performing a thorough thermal analysis of the prototype during the design process and proper online thermal monitoring of the machine during the operation stage. Thermal modelling is a powerful tool for achieving such goals in both cases. This paper aims to review the state‐of‐the‐art of thermal modelling techniques and provide a detailed comparison of them in PM machines. The fundamental concepts of heat transfer and sources of heat in PM machines are first discussed. Then, different thermal modelling techniques, including thermal subdomain models (TSMs), lumped parameter thermal networks (LPTNs), finite element models (FEMs), computational fluid dynamics (CFD), reduced order models (ROMs), and hybrid thermal models (HTMs) are introduced and compared. Finally, the utilization of these models in the thermal design, control, and monitoring of PM machines is studied.

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Section: Thermal Managementmentioning

confidence: 99%

An overview of thermal modelling techniques for permanent magnet machines

Khalesidoost

Faiz

Mazaheri‐Tehrani

2022

IET Science Measure & Tech

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“…Therefore, the effects of inaccurate measurement can be neglected for the d axis current. Comparing Equations (11) to (10), the voltage error can be calculated by…”

Section: Of 15mentioning

confidence: 99%

“…As a result of their high efficiency, high power density, and high torque-to-inertia ratio, permanent magnet synchronous motors (PMSMs) have been widely used recently [1][2][3][4][5][6][7][8]. Model predictive control (MPC) has recently attracted more attention because of its excellent performance aspects, such as its fast dynamic response, simple modeling, and multiconstraint control [9][10][11][12][13][14][15]. Based on the finite voltage vector set and the system model, MPC predicts the future behavior of control variables, such as the current, torque, and stator flux [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Model Predictive Current-Controlled Permanent Magnet Synchronous Motor Drives with Inaccurate DC Bus Voltage Measurement

Wang

2020

Energies

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In this paper, the effects of inaccurate DC bus voltage measurement are analyzed to model predictive current-controlled permanent magnet synchronous motor (PMSM) drives. It is found that the selection of the optimal space vector is affected by inaccurate DC bus voltage measurements, and the shortest distance principle is proposed to evaluate the effects. With the under-voltage measurement, the actual q axis current is always larger than the reference value, and PMSM may be damaged by the over-current phenomenon. However, the actual q axis current is always smaller than the reference value with the over-voltage measurement, and the rated torque capacity cannot be properly used. The effects of the over-voltage measurement are more serious than those of the under-voltage measurement. Additionally, the larger DC bus voltage measurement error can result in more serious effects than with the over-voltage measurement. Considering the limited variation range of the actual DC bus voltage, the rated value can be set as the measured value and the effects can be neglected. However, the effects should be taken into account if the variation range of the actual DC bus voltage is large. All the theoretical analyses are verified by experimental results.

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“…However, the focus has been on load tap control and thermal overloads of transmission lines [15], distributed MPC strategies [16], corrective control algorithms [17], and less attention towards the generation side. Recently, an active thermal management scheme based on the MPC concept of an Interior Permanent Magnet Synchronous Machine (IPMSM) has recently been proposed for lower temperature stress and longer lifetime [18]. However, this approach is not applicable for grid applications.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Power Capability of Generator Units for Increased Operational Security Using NMPC

Øyvang

Nøland

Sharma

et al. 2020

IEEE Trans. Power Syst.

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The ever-increasing penetration of intermittent energy sources introduces new demanding operating regimes for the bulk power generation in the power grid. During a worstcase power system disturbance scenario, the generator needs to operate beyond its limits to maintain stable operation. Therefore, a new online low-order thermal model of a hydrogenerator has been recently proposed, where the periodic extension of the long-forgotten capability diagram of the machine was in-depth investigated. An increased performance can be obtained if the total thermal capacity of the generator is exploited by applying optimal control theory in the Automatic Voltage Regulator (AVR). This paper proposes a Non-linear Model Predictive Controller (NMPC) combined with an Unscented Kalman Filter (UKF) with a modeling framework geared for use in a supervisory control structure for the conventional control system. The method provides maximum utilization of the machine's thermal capacity by providing the controller with an Enhanced Capability Diagram (ECD). Case studies on a single-machine system and a 16-bus multi-machine system were investigated. The results show that a satisfying controller action during different long-term voltage instability scenarios is realized.

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Active Thermal Management for Interior Permanent Magnet Synchronous Machine (IPMSM) Drives Based on Model Predictive Control

Cited by 19 publications

References 18 publications

An overview of thermal modelling techniques for permanent magnet machines

An overview of thermal modelling techniques for permanent magnet machines

Analysis of Model Predictive Current-Controlled Permanent Magnet Synchronous Motor Drives with Inaccurate DC Bus Voltage Measurement

Enhanced Power Capability of Generator Units for Increased Operational Security Using NMPC

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