Fuzzy logic field-oriented control of an induction motor and a permanent magnet synchronous motor for hybrid/electric vehicle traction applications Online publication date: Wed, 18-Oct-2017
by Scott Cash; Oluremi Olatunbosun
International Journal of Electric and Hybrid Vehicles (IJEHV), Vol. 9, No. 3, 2017
Abstract: This paper presents a fuzzy logic field-oriented control scheme capable of controlling a hybrid/electric vehicle using a variety of traction motor topologies. The control scheme uses fuzzy logic controllers created in MATLAB/Simulink to control the vehicle's speed, the motor's current and the motor's flux which can be applied to an induction motor or a permanent magnet synchronous motor. A comparison between the fuzzy logic controllers and their PID counterpart's performance is also given. The fuzzy logic speed controllers provide comparable accelerator pedal and brake pedal angles to a person controlling the vehicle, leading to realistic vehicle dynamics. The simulations show that the fuzzy logic current and flux controllers can be used on any motor topology and power rating. This control scheme can be used during the design process of a hybrid or electric vehicle without the need for re-tuning whenever the motor configuration changes.
Online publication date: Wed, 18-Oct-2017
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Electric and Hybrid Vehicles (IJEHV):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.If you still need assistance, please email firstname.lastname@example.org