Optimal Torque Control of Saturated Synchronous Motors: Plug-and-Play Method

Awan, Hafiz Asad Ali; Song, Zhanfeng; Saarakkala, Seppo E.; Hinkkanen, Marko

doi:10.1109/tia.2018.2862410

Cited by 29 publications

(11 citation statements)

References 32 publications

(53 reference statements)

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“…In the control of EMs, a model of the machine is used to represent the machine. This model is normally analytical, or it is based on one or a few lookup tables [62]. Due to the potential of surrogate models in estimating the machine behavior accurately, the application of surrogate models in control of electrical machines has recently attracted increasing attention.…”

Section: ) Control Of Electrical Machinesmentioning

confidence: 99%

“…In Section I, we mentioned control and system level models as possible applications of surrogates. At present, the most popular models in those applications are d-q equivalent circuit equations (described above) and lookup tables (LUTs) [62], [76]- [78]. In this usage, LUT typically means a multi-dimensional table of FE pre-computed values with selected sets of input parameters and means to linearly interpolate the output for a new input value.…”

Section: A Physics-based Models Of Permanent Magnet Synchronous Machmentioning

confidence: 99%

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Surrogate Modeling of Electrical Machine Torque Using Artificial Neural Networks

et al. 2020

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Section: ) Control Of Electrical Machinesmentioning

confidence: 99%

Section: A Physics-based Models Of Permanent Magnet Synchronous Machmentioning

confidence: 99%

Surrogate Modeling of Electrical Machine Torque Using Artificial Neural Networks

et al. 2020

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“…Many studies [4][5][6][7][8][9][10][11][12][13][14][15][16][17] have been performed for flux saturation models using the flux saturation characteristics considering cross-coupling. These are described by the flux functions of the d-q axis currents or current functions of the d-q axis fluxes [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

“…The third method is to estimate the parameters at standstill. To prevent the motor from rotating, proper testing methods should be considered [6,[15][16][17][18]. Among the three methods, the third method does not need any additional equipment or test conditions (e.g., rotation), so that it is applicable for all systems, including sensorless drives.The saturation characteristic of SynRMs affects the performance of the current controller.…”

mentioning

confidence: 99%

“…Two look-up tables are required for SFOC in the whole operating region, including flux weakening.To implement flux weakening, the look-up tables are utilized to obtain the operating points. The tables can be determined by an initial commissioning [17], as well as off-line calculations [29]. There are some associated issues with flux weakening control based on these tables.…”

mentioning

confidence: 99%

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Flux Weakening Control Technique without Look-Up Tables for SynRMs Based on Flux Saturation Models

Woo

Lee

et al. 2020

Electronics

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This paper presents a flux weakening algorithm for synchronous reluctance motors (SynRMs) based on parameters estimated at standstill. Recently, flux saturated motors have been studied. Flux saturation models were identified and look-up tables were generated based on the saturation model for maximum torque per ampere (MTPA) and flux weakening operations. The operation with tables would degrade the accuracy of operating points when the table size is not enough. The proposed method implements a flux weakening operation without tables, and the operating points are determined with voltages and currents on operating points. Therefore, the accuracy can be maintained. In addition, the computation time to generate the tables is not needed, so the initial commissioning process can be reduced. The proposed method consists of two parts: the determination of a flux weakening region and the modification of current references. The flux weakening region is determined by the angle between direction vectors along the constant torque and voltage decreasing directions in the d-q axis current plane. After identifying the flux weakening region, the current references are modified for flux weakening according to the direction vector and appropriate magnitude. The direction and magnitude are determined by the operating point of the currents and magnitude of the output voltage, respectively. Using the flux saturation model for SynRMs, the flux weakening direction can be determined accurately. As a result, flux weakening can be performed precisely. The experimental results prove the validity of the proposed method.

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Hardware-in-the-Loop Simulation for Active Control of Tramcars With Independently Rotating Wheels

Lee

Liu

et al. 2019

IEEE Access

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The wheelset is an important part that affects the dynamics of railway vehicles. The main purpose of the wheelset is to solve the problem of stability, curve performance, comfort, and wear. A conventional railway vehicle adopts rigid-axle wheelset (RW) due to the self-centering mechanism. On the other hand, independently rotating wheels (IRWs) have not been widely applied in the railway industry, since they do not generate any self-centering mechanism. It creates excessive wear, and derailment may occur. However, the IRWs have excellent curving performance compared with the RWs, and it enables realizing a low-floor structure that is convenient for passengers to get on and off. The recent active control technology has made it possible to generate a centering force in the IRWs. There are still many obstacles for the practical use of this technology, and it is necessary to verify the control strategies through various test methods. In this paper, an analytical model is derived, and an active control strategy is studied. To verify the validity of the active control strategy, a novel hardware-in-the-loop simulation (HILS) configuration using a real-time model and a motor-generator set are proposed. INDEX TERMSActive control, hardware-in-the-loop simulation (HILS), motor control, independently rotating wheels (IRWs), railway vehicle, rigid-axle wheelset (RW).

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Optimal Torque Control of Saturated Synchronous Motors: Plug-and-Play Method

Cited by 29 publications

References 32 publications

Surrogate Modeling of Electrical Machine Torque Using Artificial Neural Networks

Surrogate Modeling of Electrical Machine Torque Using Artificial Neural Networks

Flux Weakening Control Technique without Look-Up Tables for SynRMs Based on Flux Saturation Models

Hardware-in-the-Loop Simulation for Active Control of Tramcars With Independently Rotating Wheels

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