Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/3844
Title: Enhanced Predictive Torque Control with Auto-Tuning Feature for Induction Motor Drive
Authors: Ravi Eswar, Kodumur Meesala
Venkata Praveen Kumar, Kunisetti
Vinay Kumar, Thippiripati
Keywords: Cost functions
Electric drivesC
Issue Date: 2018
Publisher: Electric Power Components and Systems
Citation: 10.1080/15325008.2018.1509157
Abstract: This article presents an improved predictive torque control scheme for an induction motor (IM) drive by incorporating auto tuning feature. Among the variant control techniques, predictive torque control for an IM drive is the real choice for high dynamic performance and it became more popular since it involves control parameters in cost function. Weighting factor adjustment in cost function has direct influence in the performance of a drive. The main problem associated with the conventional predictive torque control scheme is the selection of convenient weighting factors to accomplish optimal torque and flux response. To overcome this problem, auto tuning of weighting factor based on control objective is introduced. With this, optimal weighting factor is selected for cost function evaluation in every sampling time, thereby giving desired performance. To validate this, MATLAB/Simulink and experimental results are presented for an IM drive fed by two level voltage source inverter. These results establish that proposed control scheme of IM drive exhibits optimal torque and flux response
Description: NITW
URI: http://localhost:8080/xmlui/handle/123456789/3844
Appears in Collections:Electrical Engineering

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