Comparative Performance Analysis of Induction and Synchronous Reluctance Motors in Chiller Systems for Energy Efficient Buildings

Oliveira, Felipe Silva; Ukil, Abhisek

doi:10.1109/tii.2018.2890270

Cited by 42 publications

(11 citation statements)

References 25 publications

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“…While direct axis inductancê L d had generally a good match with reference value L ref d , the quadrature inductance showed an increasing error. This behavior is believed to be a result of negligence of the stator resistance in (6), which results in a small R phN deformation (can be also seen in Fig. 7).…”

Section: Speedmentioning

confidence: 77%

“…where U dc is the inverter DC-bus voltage. Note that relation (6) was simplified by neglecting the stator resistance R, otherwise the first-order system model would have to be approximated, further increasing computation demands.…”

Section: Proposed Sensorless Algorithmmentioning

confidence: 99%

“…Despite advantages such as its low-cost, simple and rugged construction, cold rotor, a wide field-weakening range and the absence of expensive rare-earth metals, only recent progress in rotor high-anisotropy design has allowed the SynRM to achieve a better efficiency [1], [2]. In fact, it is becoming an attractive replacement for the AC induction machine in many industrial applications such as pumps or HVACs [3]- [6].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Synchronous Reluctance Motor Parameter and State Estimation Using Extended Kalman Filter and Current Derivative Measurement

Mynář

Václavek

Blaha

2021

IEEE Trans. Ind. Electron.

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The synchronous reluctance motor is becoming a very attractive alternative to the AC induction machine. This is due to the lack of rare-earth metals in their construction and a higher efficiency, which was brought about by recent progress in rotor design. However, in order to achieve an efficient and low-cost operation of the synchronous reluctance motor drive, an adaptive sensorless algorithm should be utilized to cope with machine non-linearities. This paper describes an adaptive observer, which can provide an estimation of rotor position and speed, as well as core loss and inductance parameters. A modified PWM switching scheme and a current derivative measurement method are proposed, together with an extended Kalman Filter design. Experimental results are shown to demonstrate method performance and feasibility.

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Section: Speedmentioning

confidence: 77%

Section: Proposed Sensorless Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Synchronous Reluctance Motor Parameter and State Estimation Using Extended Kalman Filter and Current Derivative Measurement

Mynář

Václavek

Blaha

2021

IEEE Trans. Ind. Electron.

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“…Thanks to the high speed of microcontrollers, the MPCC has established itself as an excellent tool in power converters and various motor drive systems, including the widely known synchronous reluctance motors (SynRM). The SynRM is commercially viable and very appealing compared to induction motors [4]. The rotor construction is unique for no windings or magnets but electric steel plates stacked together to form a rotor package.…”

Section: Introductionmentioning

confidence: 99%

Model-Free Predictive Current Control for SynRM Drives Based on Optimized Modulation of Triple-Voltage-Vector

Agustin

Yu²,

Cheng

et al. 2021

IEEE Access

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A model-free predictive current control for synchronous reluctance motor drives based on triple-voltage-vector with optimized duty ratio modulation is presented in this paper. The proposed scheme introduces an effective and low complexity strategy of selecting candidate voltage vectors to largely reduce computational loadings. First, the basic voltage vectors are organized to apportion six regions, representing six composite switching modes. Each region comprises two active voltage vectors and a zero voltage vector modulated by distinct duty ratios. The scheme starts from the selection of an initial basic voltage vector corresponding to a predefined cost function. The second candidate voltage vector then follows, which is chosen from the region adjacent to the initial one. The third vector is a default zero voltage vector. As a result, voltage vectors outside the selected regions are excluded from the process. Moreover, the adjustable feature makes the optimization of duty ratios adaptive. Finally, the proposed method is experimentally put to tests under various operating conditions utilizing the synchronous reluctance motor drives. Experimental results are presented to demonstrate the effectiveness of the proposal. INDEX TERMSModel predictive current control, model-free predictive current control, optimal duty ratio modulation, synchronous reluctance motor (SynRM), triple-voltage-vector CRESTIAN A. AGUSTIN was born in Isabela, Philippines, in 1989. He received the B.S. degree in electrical engineering from Isabela State University, Ilagan City, Philippines, in 2012, the M.S. degree in engineering management from the

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“…Interest regarding SynRMs is also arising in other technological sectors such as home appliances and building applications. A chiller application was considered in [5], comparing an induction motor with a SynRM, providing quantitative evidence that SynRM can significantly increase energy efficiency. The slightly higher cost of a SynRM was fully recovered by energy savings.…”

Section: Introductionmentioning

confidence: 99%

Model-Free Predictive Current Control of Synchronous Reluctance Motor Drives for Pump Applications

et al. 2021

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Climate changes and the lack of running water across vast territories require the massive use of pumping systems, often powered by solar energy sources. In this context, simple drives with high-efficiency motors can be expected to take hold. It is important to emphasise that simplicity does not necessarily lie in the control algorithm itself, but in the absence of complex manual calibration. These characteristics are met by synchronous reluctance motors provided that the calibration of the current loops is made autonomous. The goal of the present research was the development of a current control algorithm for reluctance synchronous motors that does not require an explicit model of the motor, and that self-calibrates in the first moments of operation without the supervision of a human expert. The results, both simulated and experimental, confirm this ability. The proposed algorithm adapts itself to different motor types, without the need for any initial calibration. The proposed technique is fully within the paradigm of smarter electrical drives, which, similarly to today’s smartphones, offer advanced performance by making any technological complexity transparent to the user.

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Comparative Performance Analysis of Induction and Synchronous Reluctance Motors in Chiller Systems for Energy Efficient Buildings

Cited by 42 publications

References 25 publications

Synchronous Reluctance Motor Parameter and State Estimation Using Extended Kalman Filter and Current Derivative Measurement

Synchronous Reluctance Motor Parameter and State Estimation Using Extended Kalman Filter and Current Derivative Measurement

Model-Free Predictive Current Control for SynRM Drives Based on Optimized Modulation of Triple-Voltage-Vector

Model-Free Predictive Current Control of Synchronous Reluctance Motor Drives for Pump Applications

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