Abstract
This paper deals with sequential selection-based predictive direct torque control (PDTC) for cascaded H-bridge (CHB) inverter-driven induction motor (IM). PDTC is one of the modern control techniques gaining its popularity in converter driven IMs. In PDTC, suitable switching state is obtained based on the objective-function optimization. This objective-function evaluates the stator flux and torque deviations for all the available control actions of the converter. However, weighting factors are required in order to maintain the trade-off between stator flux and torque in the objective-function. Weighting factor selection in predictive control techniques is a heuristic task and greatly affects the system performance. To address this issue, a simplified PDTC is tested for CHB inverter-driven IM drive. In this method, selection of weighting factor is eliminated with sequential selection-based approach. This control technique is validated for a three-level CHB inverter-driven IM in MATLAB/SIMULINK environment. Results under different operating conditions are compared with conventional PDTC for CHB inverter-driven IM.
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Muddineni, V.P., Bonala, A.K., Yada, H.K. (2020). Sequential Selection-Based Predictive Direct Torque Control for Cascaded H-Bridge Inverter-Driven Induction Motor Drive. In: Sengodan, T., Murugappan, M., Misra, S. (eds) Advances in Electrical and Computer Technologies. Lecture Notes in Electrical Engineering, vol 672. Springer, Singapore. https://doi.org/10.1007/978-981-15-5558-9_103
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DOI: https://doi.org/10.1007/978-981-15-5558-9_103
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