Open AccessDesign of robust control for a motor in electric vehicles
Author(s) -
Pourseif Tahere,
Mohajeri Mina
Publication year - 2020
Publication title -
iet electrical systems in transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.588
H-Index - 26
ISSN - 2042-9746
DOI - 10.1049/iet-est.2018.5084
Subject(s) - automotive engineering , electric motor , engineering , control (management) , motor control , control engineering , mechanical engineering , computer science , artificial intelligence , psychology , neuroscience
In this study, robust control methods are employed to control the permanent magnet synchronous motor. Features such as good performance despite the vehicle's load torque disturbance, measurement noise, system parameter changes and high‐frequency uncertainties of structured and unstructured types make this approach more effective. The control objective is controlling and maintaining the vehicle speed and motor torque in driver's desired references. In this study, a μ controller and a reduced order μ controller are designed for the first time due to simplicity and easy implementation of the optimal H ∞ controller. Simulation studies are carried out in this study to evaluate the control performance of the designed control systems. Comparison studies show that the proposed controllers have several advantages compared to the proportional–integral–derivative controller including reference speed and torque tracking, mean square error, disturbance rejection and noise attenuation.