Int. J. of Electric and Hybrid Vehicles   »   2017 Vol.9, No.3

 

 

Title: Fuzzy logic field-oriented control of an induction motor and a permanent magnet synchronous motor for hybrid/electric vehicle traction applications

 

Authors: Scott Cash; Oluremi Olatunbosun

 

Addresses:
Department of Mechanical Engineering, University of Birmingham, Birmingham, B15 2TT, UK
Department of Mechanical Engineering, University of Birmingham, Birmingham, B15 2TT, UK

 

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.

 

Keywords: field weakening; fuzzy logic; induction; PMSM; permanent magnet synchronous motor; vector control.

 

DOI: 10.1504/IJEHV.2017.10008527

 

Int. J. of Electric and Hybrid Vehicles, 2017 Vol.9, No.3, pp.269 - 284

 

Submission date: 23 Apr 2017
Date of acceptance: 24 Jun 2017
Available online: 18 Oct 2017

 

 

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