Direct Torque Control Based on Artificial Neural Network of a Five-Phase PMSM Drive

Kamel, Tounsi; Djahbar, Abdelkader; Barkat, Said; Iqbal, Atif

doi:10.1007/978-3-319-73192-6_33

Cited by 2 publications

(1 citation statement)

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“…These drawbacks can be overthrown by using ANN in DTC. The proposed solution in [34] uses the LevenbergMarquardt backpropagation algorithm for weights adjustment.…”

Section: Introductionmentioning

confidence: 99%

Review of methods for energy-efficiency improvement in induction machines

Diachenko¹,

Азюковський²

2020

Nauk. visn. nat. hirn. univ.

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Purpose. To present a comprehensive analysis of domestic and foreign experience regarding the existing optimization tech niques in the problems of the power losses minimization in electromechanical systems with an induction machine for reduction of the total electricity consumed from the grid.Methodology. A detailed study of the developments in the field of efficiency optimization of threephase induction machines through optimal control and design techniques has been done. Special attention is given to vectorcontrolled systems. Sustainable development of a few trends was traced in this domain. The reference value of the fieldgenerating current is an additional degree of freedom in the mathematical model of the investigated system. It influences the magnetic flux linkage dynamics and mechanical torque equations. Hence, the implemented model allows for a comparative analysis of different approaches to ensure minimum energy consumption with an adequate intensity of transients.findings. Among numerous control techniques, simple state control, loss modelbased control and search control efficiency optimization algorithms have been highlighted. The simulation example on efficiency optimization of an asynchronous machine was performed in the framework of an indirect fieldoriented control system considering the stepped trajectory of load torque, which is possible as a result of mechanical perturbation or when the motor performs complex speed profiles or counteracts shock loads.originality. The rigorous review indicates that existing optimization algorithms in conventional still can be used for induction motor drive applications. However, some existing problems in achieving the best control were not summarized. Accordingly, for the first time, this review provides suggestions for the future research and development of dynamic energyefficient control in in duction motors.Practical value. The threephase induction motor drives are a nonlinear system that is tough to describe precisely theoretically due to their sudden changes in conditions of operation mode and parameter variation. Thus, advanced algorithms are needed to enhance their performance in addition to effective hardware solutions. The suggested alternative solution will hopefully lead to increased efforts toward the development of advanced control systems for future applications.

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“…These drawbacks can be overthrown by using ANN in DTC. The proposed solution in [34] uses the LevenbergMarquardt backpropagation algorithm for weights adjustment.…”

Section: Introductionmentioning

confidence: 99%