MTA control for traction IM drives: Theory and experimental results

Bozhko, Serhiy; Dymko, Serhii; Kovbasa, S.; Peresada, S.

doi:10.1109/esars.2015.7101479

Cited by 2 publications

(5 citation statements)

References 14 publications

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“…The theoretical findings of this study and the effectiveness of the proposed approach are confirmed by thorough experimental validation. This paper is an expanded and further developed version of the earlier conference paper [22]. The paper is organized as follows.…”

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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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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show abstract

“…In order to resolve this problem, the flux controller (12) can be eliminated from the control algorithm if a fast torque trajectory is required to be tracked. In this case an optimal relation   ** d iT [5] should be The experiments are carried out using the Rapid Prototyping Station, which includes ( Fig. 3): 5.5 kW induction motor; current controlled loading DC-machine; 50A and 380V three-phase PWM controlled inverter with switching frequency 2.5kHz; DSP controller (based on TMS320F28335) which performs data acquisition, implements control algorithms with programmable tracing of selected variables; personal computer.…”

Section: Problem Statementmentioning

confidence: 99%

“…This effect results in varying machine inductances hence the assumption of linear magnetic circuits, common for standard optimization routines, is no longer valid. The problem of asymptotic torque tracking with MTA optimization for saturated IM is investigated in [4], [5]. Authors propose a nonlinear flux observer which accounts for the machine magnetic saturation.…”

Section: Introductionmentioning

confidence: 99%

“…In [4] a linear magnetic circuit is assumed for MTA optimization. The torque tracking controller with MTA optimization for saturated IM [5] is based on static feedback linearization technique and does not provide flux regulation in closed-loop. This paper aims for improved torque-flux tracking performances based on solutions [4], [5] by considering magnetizing properties during the controller design and MTA optimization.…”

Section: Introductionmentioning

confidence: 99%

“…The torque tracking controller with MTA optimization for saturated IM [5] is based on static feedback linearization technique and does not provide flux regulation in closed-loop. This paper aims for improved torque-flux tracking performances based on solutions [4], [5] by considering magnetizing properties during the controller design and MTA optimization. The results of intensive experimental investigations are also presented to analyse efficiency, power factor and torque per Ampere ratio during torque trajectories tracking for considered control methods.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Dynamic output feedback linearizing control of saturated induction motors with torque per Ampere ratio maximization

Peresada

Kovbasa

Dymko

et al. 2016

2016 2nd International Conference on Intelligent Energy and Power Systems (IEPS)

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A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription. The achieved steady-state system efficiency have been compared experimentally for three types of controllers, namely: standard vector control with constant flux operation, controller based on classic maximization of torque per Ampere ratio for linear magnetic circuit and controller based on MTA strategy for saturated induction motor. It is shown experimentally that the controller designed for saturated induction motor provides not only higher torque per Ampere ratio but also increases power factor and reduces active power consumption hence improving the drive efficiency. Operation with slowly varying torque references has also been analysed. It is shown that the proposed controller is suitable for applications that do not demand an extremely fast dynamic response, for example for electric vehicle drives.

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MTA control for traction IM drives: Theory and experimental results

Cited by 2 publications

References 14 publications

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

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

Dynamic output feedback linearizing control of saturated induction motors with torque per Ampere ratio maximization

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