Abstract
In this paper, fuzzy logic is implemented for DTC of a three-phase induction motor using two- and three-level inverter and a comparative study is done with conventional switching table-based DTC (ST-DTC). Here, d-q model in stationary reference frame equations are consider for simulation of three-phase induction motor, to which power supply is given by a three-level inverter controlled with fuzzy logic. In three-phase three-level (3P-3L) inverter, the number of switching states is 27 which is only 8 in three-phase two-level inverter. With increase in switching vectors, it is able to define a greater number of sectors and different sets of switching states depending on type of loading. By selecting proper input and output membership functions and rules, a fuzzy inference system is generated to trigger the switches of the inverter. The result shows that settling and rise times are comparable with conventional DTC; however, a remarkable reduction of torque ripples (5.2583% in three-level and 4.7577% in two-level inverter) are observed. The current ripples also reduced by 4.006% in three-level and 3.734% in two-level in case of fuzzy logic-based DTC (Fuzzy-DTC).
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Mahanta, U., Mohanta, B.C., Panigrahi, B.P., Panda, A.K. (2021). A Comparative Analysis of Fuzzy Logic-Based DTC and ST-DTC Using Three-Level Inverter for Torque Ripple Reduction. In: Udgata, S.K., Sethi, S., Srirama, S.N. (eds) Intelligent Systems. Lecture Notes in Networks and Systems, vol 185. Springer, Singapore. https://doi.org/10.1007/978-981-33-6081-5_32
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DOI: https://doi.org/10.1007/978-981-33-6081-5_32
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