Abstract
The advancements of neuro-fuzzy controlling techniques for smooth switching of matrix converter (MC)-fed permanent magnet synchronous motor (PMSM) drives have been evaluated in here. Also, the direct torque control (DTC) for MC is considered as PMSM drives are always exposed to high torque ripples during fully loaded operations. Since DTC requires flux and hysteresis selection and MC needs the switching table to initiate the switching sequence, neural network-derived fuzzy system is employed. To investigate the better performance of neuro-fuzzy control for the MC-fed PMSM drives, fuzzy sliding mode control (FSMC) and adaptive network-based fuzzy inference system (ANFIS) are taken into account and the discussion has been made.
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Selvam, K., Sahoo, S. (2020). An Overview of Neuro-Fuzzy-Based DTC for Matrix Converter-Fed PMSM Drives. In: Giri, V., Verma, N., Patel, R., Singh, V. (eds) Computing Algorithms with Applications in Engineering. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-2369-4_7
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DOI: https://doi.org/10.1007/978-981-15-2369-4_7
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