Control of Electromagnetics Torques of EV Motoring using Fuzzy Logic Controller

摘要

These days, the electric vehicle (EV) is one of the core areas of transportation sector which is actively looking upon by the researchers, it is due to the fact that the fossil fuels based IC engine automobile are non-renewable as well as the excessive burning of these fossil fuels produces carbon monoxide thereby creating global warnings and environmental hazards. Electric Vehicles (EV) are clean and pollution free which do not use fossil fuels but are powered from battery based electricity driven motors. Induction Motor (IM) is one of the widely used motors for propelling EV systems and control of IM has been one of the emerging areas to study globally. Vector based Direct torque control (DTC) is one of the efficient methods of controlling IM drives. This conventional DTC uses two controllers- torque and flux hysteresis comparator to generate stator voltage vector for producing requires torques but has drawbacks of producing high torque ripples. To overcome these drawbacks, Fuzzy Logic Controllers (FLC) replacing the torque or the flux comparators or the both is one of the best and emerging techniques. In this paper, a design method for vector based DTC based on Fuzzy Logic Controller (FLC) replacing the Flux Hysteresis Block (FHB) have been developed and modeled in MATLAB-Simulink. The performance of electromagnetic behavior of the Conventional DTC based IM drive with using FLC have been evaluated and compared. The results of simulation indicated that the proposed FLC are better than that of conventional Flux Hysteresis. FLC based DTC easily tracks the reference torques, reduce the torque ripples and thereby improves the efficiency of Speed-torque of IM with faster responses which may be useful for fast changing torque as that of EV in any roads conditions. The proposed FLC algorithms are also simple and can be implemented easily with Fast DSP or FPGA platform or PIC Microcontroller.