Autor: |
Yalavarthy, Uma Ravi Sankar, Gadi, Venkata Siva Krishna Rao |
Předmět: |
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Zdroj: |
Mathematical Modelling of Engineering Problems; Apr2022, Vol. 9 Issue 2, p523-532, 10p |
Abstrakt: |
This paper presents the design of an indirect space vector control (ISVC) of electric vehicle (EV) driven by permanent magnet synchronous motor (PMSM) utilizing the fuzzy logic control (FLC) approach for personnel transportation. Regulating the power flow in any vehicle is essential for optimal vehicle dynamics. A variety of propulsion motors are used in the system for such transmission. But PMSM is most efficient in terms of power density and torque. This study proposes a fuzzy controller based control technique for speed and torque control of PMSM drive and the simulated outcomes are compared with traditional PI controller under various motor loaded conditions. In this paper, EV dynamics are considered and ISVC strategy for PMSM is implemented. The PMSM is energized by space vector pulse width modulation (SVPWM) inverter. The system is modelled and simulated in MATLAB \ SIMULINK environment for steady speed-varying torque and varying speed-steady torque conditions. A wide range of speed drive profile is suggested for EV, consisting of accelerating, constant speed, decelerating, and rough road surface modes. Based on the results, the control technique was confirmed to be effective. The results indicate that the control scheme used is efficient throughout the wide range of speeds. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
Externí odkaz: |
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