Loss Minimization of Induction Machines in Dynamic Operation

Stumper, Jean-François; Dötlinger, Alexander; Kennel, Ralph

doi:10.1109/tec.2013.2262048

Cited by 89 publications

(52 citation statements)

References 17 publications

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“…The optimal flux is generated using an Artificial Neural Network (ANN) controller; the efficiency gain has been fully demonstrated, but no experiments have been provided to show the dynamic performance in case of load changes. On the contrary, the solution presented in [13] is focused on the dynamic performance to minimize the losses during torque transients. This solution is implemented in rotor flux reference frame and provides first a model-based optimal rotor flux reference that minimizes losses at steady state for given torque and speed.…”

Section: List Of Symbolsmentioning

confidence: 99%

Maximum Efficiency per Torque Direct Flux Vector Control of Induction Motor Drives

Odhano

Bojoi

Boglietti

et al. 2015

IEEE Trans. on Ind. Applicat.

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In this paper, a loss-minimizing strategy is proposed for induction motor drives to ensure maximum efficiency operation for a given torque demand. The proposed strategy directly regulates the machine stator flux according to the desired torque, using an optimal stator flux reference. Therefore, the proposed strategy is suitable for motor control schemes that are based on direct flux regulation, such as direct torque control or direct flux vector control. The maximum efficiency per torque (MEPT) stator flux map is computed offline using the traditional no-load and short-circuit tests' data. An iron loss model based on the stator flux and frequency is also proposed for the calibration of the machine loss model and also for on-line monitoring of the iron losses during motor operation. The proposed MEPT strategy has been validated on a 2.2 kW induction machine and the motor efficiency has been measured for different speed values and variable load conditions. The experimental results confirm the effectiveness of the proposed solution. specific resistivity of core material [Ω·m] I. 0093-9994 (c) APPENDIXThe IM rated data and parameters are: rated power 2.2 kW, rated voltage 400V, rated current 5.08A, rated frequency 50Hz, rated speed 1400 rpm, rated torque 15 Nm, R s = 3.37  (25C), R r = 2.2  (25C), L ls = L lr = 16 mH.

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Section: List Of Symbolsmentioning

confidence: 99%

Maximum Efficiency per Torque Direct Flux Vector Control of Induction Motor Drives

Odhano

Bojoi

Boglietti

et al. 2015

IEEE Trans. on Ind. Applicat.

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“…Methodology of systematic design of appropriate cost functions is still an open problem of the MPC approach, as well as its extension for longer prediction horizons [18]. Approaches based on dynamic optimization [23] or polynomial approximations [24] has been investigated. In this paper, we investigate the use of the lookahead technique of approximate dynamic programming [25] to address both issues.…”

Section: Model Predictive Controlmentioning

confidence: 99%

Improved Stability of DC Catenary Fed Traction Drives Using Two-Stage Predictive Control

Šmı́dl

Janouš

Peroutka

2015

IEEE Trans. Ind. Electron.

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Control of the main propulsion drive of a traction vehicle must secure excellent drive dynamics, but it also has to consider properties of the dc catenary. Specifically, the catenary voltage is subject to short circuits, fast changes, harmonics and other disturbances which can vary in a wide range. Therefore, the drive is equipped by the catenary input LC filter. The filter is almost undamped by design in order to achieve maximum efficiency and the control strategy needs to secure active damping of the filter to guarantee stability of the drive. Existing solutions for active damping usually introduce some drawback in dynamic properties of the drive. In this paper, we study the use of two stage predictive control. Damping of the filter will be solved on a long horizon using linear controller. Dynamic properties of the drive will be guaranteed by optimization on a short horizon using the finite control set model predictive control (FCS-MPC). These two approaches can be elegantly combined via approximate dynamic programming. The resulting algorithm can be interpreted as a standard FCS-MPC with a model-based designed cost function. Performance of the resulting controller was verified in simulations on a prototype of a main PMSM drive of a tram and experimentally on a developed laboratory prototype of 10.7 kW.

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“…the drive is operating in constant torque). Dynamic behaviour optimization during torque transient is only considered in very few papers [12], [13]. MTPA control [11] minimizes the stator current for a given machine torque.…”

Section: Introductionmentioning

confidence: 99%

Maximum Torque-per-Amp Control for Traction IM Drives: Theory and Experimental Results

Bozhko

Dymko

Kovbasa

et al. 2017

IEEE Trans. on Ind. Applicat.

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-A novel maximum torque per Ampere (MTPA) controller for induction motor (IM) drives is presented. It is shown to be highly suited to applications that do not demand an extremely fast dynamic response, for example electric vehicle drives. The proposed MTPA field oriented controller guarantees asymptotic torque (speed) tracking of smooth reference trajectories and maximises the torque per Ampere ratio when the developed torque is constant or slow varying. An outputfeedback linearizing concept is employed for the design of torque and flux subsystems to compensate for the torque-dependent flux variations required to satisfy the MTPA condition. As a first step, a linear approximation of the IM magnetic system is considered. Then, based on a standard saturated IM model, the nonlinear static MTPA relationships for the rotor flux are derived as a function of the desired torque, and a modified torque-flux controller for the saturated machine is developed. The flux reference calculation method to achieve simultaneously an asymptotic field orientation, torque-flux decoupling and MTPA optimization in steady state is proposed. The method guarantees singularity-free operation and can be used as means to improve stator current transients. Experimental tests prove the accuracy of the control over a full torque range and show successful compensation of the magnetizing inductance variations caused by saturation. The proposed MTPA control algorithm also demonstrates a decoupling of the torque (speed) and flux dynamics to ensure asymptotic torque tracking. In addition, a higher torque per Ampere ratio is achieved together with an improved efficiency of electromechanical energy conversion.

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Loss Minimization of Induction Machines in Dynamic Operation

Cited by 89 publications

References 17 publications

Maximum Efficiency per Torque Direct Flux Vector Control of Induction Motor Drives

Maximum Efficiency per Torque Direct Flux Vector Control of Induction Motor Drives

Improved Stability of DC Catenary Fed Traction Drives Using Two-Stage Predictive Control

Maximum Torque-per-Amp Control for Traction IM Drives: Theory and Experimental Results

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