contributor author | Rongrong Wang | |
contributor author | Junmin Wang | |
date accessioned | 2017-05-09T00:49:14Z | |
date available | 2017-05-09T00:49:14Z | |
date copyright | March, 2012 | |
date issued | 2012 | |
identifier issn | 0022-0434 | |
identifier other | JDSMAA-26582#021014_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/148516 | |
description abstract | This paper presents an in-wheel motor fault diagnosis and fault-tolerant control method for four-wheel independently actuated (4WIA) electric vehicles. The 4WIA electric vehicle is one of the promising architectures for electric vehicles. While such a vehicle architecture greatly increases the flexibility for vehicle control, it also elevates the requirements on system reliability, safety, and fault tolerance due to the increased number of actuators. A fault diagnosis approach for finding the faulty in-wheel motor/motor driver pair is developed. The proposed diagnosis approach does not need an accurate knowledge on tire-road friction coefficient (TRFC) and is robust to tire force modeling inaccuracies. Based on the in-wheel motor/motor driver fault diagnosis mechanism, a control-allocation based vehicle fault-tolerant control system is designed to accommodate the in-wheel motor/motor driver fault by automatically allocating the control effort among other healthy wheels. Simulations using a high-fidelity, CarSim®, full-vehicle model show the effectiveness of the proposed in-wheel motor/motor driver fault diagnosis and fault-tolerant control approaches. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Fault-Tolerant Control for Electric Ground Vehicles With Independently-Actuated In-Wheel Motors | |
type | Journal Paper | |
journal volume | 134 | |
journal issue | 2 | |
journal title | Journal of Dynamic Systems, Measurement, and Control | |
identifier doi | 10.1115/1.4005050 | |
journal fristpage | 21014 | |
identifier eissn | 1528-9028 | |
keywords | Engines | |
keywords | Simulation | |
keywords | Design | |
keywords | Modeling | |
keywords | Vehicles | |
keywords | Errors | |
keywords | Fault diagnosis | |
keywords | Tires | |
keywords | Wheels | |
keywords | Force | |
keywords | Patient diagnosis | |
keywords | Electric vehicles | |
keywords | Control equipment AND Control systems | |
tree | Journal of Dynamic Systems, Measurement, and Control:;2012:;volume( 134 ):;issue: 002 | |
contenttype | Fulltext | |