Model-based loss minimization for DC and AC vector-controlled motors including core saturation

Fernandez-Bernal, F.; García-Cerrada, Aurelio; Faure, R.

doi:10.1109/28.845050

Cited by 116 publications

(28 citation statements)

References 17 publications

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“…The concept of efficient control has been implemented using different strategies [13], and can be classified into search control (SC) [14][15][16][17][18][19][20] or loss model control methods (LMC) [7,[21][22][23][24][25][26]. Regardless of the approach, the strategy to improve the efficiency is typically based on decreasing the magnetic flux in the machine at light loads to reduce the losses at the expense of a slower dynamic response.…”

mentioning

confidence: 99%

“…To construct the model it is necessary to know the machine parameters, and this constitutes the main weakness of the method since it becomes sensitive to parameter detuning. When the theoretical model is simple the optimal flux can be analytically obtained [21], whereas no analytical techniques can be used when the complexity of the model increases [7,[22][23][24][25][26].…”

mentioning

confidence: 99%

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Impact of Postfault Flux Adaptation on Six-Phase Induction Motor Drives With Parallel Converters

González-Prieto

Durán

Barrero

et al. 2017

IEEE Trans. Power Electron.

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Abstract-The redundancy of multiphase drives provides an inherent fault-tolerant capability that is appreciated in applications with a complicated corrective maintenance or safety-critical requirements. Fault restrictions however force the system to be reconfigured to operate in a smooth and efficient manner. Previous works have been focused on the optimization of current waveforms to generate an undisturbed operation but still maintaining the pre-fault rated flux settings. This work shows that efficient controllers can improve the post-fault performance in six-phase induction machines supplied by parallelconnected converters if offline optimization is used to obtain a variable reference flux. Theoretical and experimental results confirm that the proposed flux adaptation method provides higher torque/power capability, lower degree of imbalance in the current sharing between windings and efficiency improvement.

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mentioning

confidence: 99%

mentioning

confidence: 99%

Impact of Postfault Flux Adaptation on Six-Phase Induction Motor Drives With Parallel Converters

González-Prieto

Durán

Barrero

et al. 2017

IEEE Trans. Power Electron.

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“…Control techniques designed to obtaining the loss minimization have been extensively investigated in the literature [5,[9][10][11][12]. They can strictly be divided into three main categories: papers that deal with the "loss-model control" technique, papers that apply the "search control" algorithm, and papers that use the simple state control.…”

Section: Power Losses Minimization In Pmsm Drivementioning

confidence: 99%

“…The existence of core loss will cause this optimum to deviate from the maximum torque per current principle. Evidently, key issues in this case are the good knowledge of a system model, a correct identification of its parameters [11]. It should also be taken into account and modelled variation of the parameters with the temperature, current, etc.…”

Section: Power Losses Minimization In Pmsm Drivementioning

confidence: 99%

Sensorless and energy-efficient PMSM drive for fan application

Brock¹,

Pajchrowski²

2013

Archives of Electrical Engineering

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Abstract:The paper presents the problem of sensorless control of a permanent magnets synchronous motor (PMSM) without a damping cage for fan applications. Frequency control was used according to the principle of v/f = const. In order to reduce the power consumption of the drive system, the optimal voltage to the motor frequency characteristics was tested in the laboratory. The experimental studies was performed on a laboratory set of a drive consisting of two coupled PMSM machines, where one machine was supplied by a transistor inverter and the other was a passive load. A new criterion based on minimizing the module of stator current vector was proposed and an optimization algorithm in steady states was tested. The results of laboratory tests confirmed the validity of the applied solution for the fan drive.

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“…However, it is not clear how to tune the PI parameters. A loss model including only copper loss and saturation effects are discussed in [7] while neglecting the other losses for simplicity. The optimal air gap flux is calculated by balancing copper and iron losses [8] regardless of the other losses.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Speed Controller of 3-Phase Induction Motors for Efficiency Improvement

Abdelkarim¹,

Ahmed²,

Orabi³

et al. 2012

Journal of Power Electronics

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The paper presents an accurate loss model based controller of an induction motor to calculate the optimal air gap flux. The model includes copper losses, iron losses, harmonic losses, friction and windage losses, and stray losses. These losses are represented as a function of the air gap flux. By using the calculated optimal air gap flux compared with rated flux for speed sensorless indirect vector controlled induction motor, an improvement in motor efficiency is achieved. The motor speed performance is improved using a fuzzy logic speed controller instead of a PI controller. The fuzzy logic speed controller was simulated using the fuzzy control interface block of MATLAB/SIMULINK program. The control algorithm is experimentally tested within a PC under RTAI-Linux. The simulation and experimental results show the improvement in motor efficiency and speed performance.

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Model-based loss minimization for DC and AC vector-controlled motors including core saturation

Cited by 116 publications

References 17 publications

Impact of Postfault Flux Adaptation on Six-Phase Induction Motor Drives With Parallel Converters

Impact of Postfault Flux Adaptation on Six-Phase Induction Motor Drives With Parallel Converters

Sensorless and energy-efficient PMSM drive for fan application

Fuzzy Logic Speed Controller of 3-Phase Induction Motors for Efficiency Improvement

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