Fuzzy logic-based direct torque control for improvement of the fault-tolerant drive of a five-phase induction motor

Abstract

Torque ripple reduction is one of the major challenges in switching table-based direct torque control (DTC) while operating for open phase faults of an induction motor, as the switching vectors are unevenly distributed. This can be minimized by increasing the level of the inverter and with the use of multi-phase motors. Fuzzy logic-based DTC is another solution to the above problem. In this paper, a comparative analysis is done between switching table-based DTC (ST-DTC) and fuzzy logic-based DTC for increasing the performance during open phase faults of a five-phase induction motor. The result shows that in fuzzy logic-based DTC with a two-level inverter, the torque ripple is reduced by 5.164% as compared with ST-DTC with a three-level inverter. The fuzzy logic-based DTC with the three-level inverter also gives better performance as compared with fuzzy logic-based DTC with the two-level inverter. The current ripple also reduced by 9.605% with respect to ST-DTC. Thus, fuzzy logic-based DTC is more suitable and cost effective for open phase fault-tolerant drives.

Sensorless torque and flux control of induction motor fed by photovoltaic system

“…Therefore, several techniques are used in the literature to overcome the drawback of classical DTC. Among the proposed solutions, we cite the intelligent predictive torque controller, 6 DTC based on variable band hysteresis regulators, 7 fuzzy logic techniques, 8 12-Sector Methodology of Torque Ripple Reduction, 9 Adaptive neural network-based controller. 10 These control techniques generally give complex configurations.…”