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    Fault-Tolerant Control for Electric Ground Vehicles With Independently-Actuated In-Wheel Motors

    Source: Journal of Dynamic Systems, Measurement, and Control:;2012:;volume( 134 ):;issue: 002::page 21014
    Author:
    Rongrong Wang
    ,
    Junmin Wang
    DOI: 10.1115/1.4005050
    Publisher: The American Society of Mechanical Engineers (ASME)
    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.
    keyword(s): Engines , Simulation , Design , Modeling , Vehicles , Errors , Fault diagnosis , Tires , Wheels , Force , Patient diagnosis , Electric vehicles , Control equipment AND Control systems ,
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      Fault-Tolerant Control for Electric Ground Vehicles With Independently-Actuated In-Wheel Motors

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    http://yetl.yabesh.ir/yetl1/handle/yetl/148516
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    contributor authorRongrong Wang
    contributor authorJunmin Wang
    date accessioned2017-05-09T00:49:14Z
    date available2017-05-09T00:49:14Z
    date copyrightMarch, 2012
    date issued2012
    identifier issn0022-0434
    identifier otherJDSMAA-26582#021014_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/148516
    description abstractThis 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.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleFault-Tolerant Control for Electric Ground Vehicles With Independently-Actuated In-Wheel Motors
    typeJournal Paper
    journal volume134
    journal issue2
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4005050
    journal fristpage21014
    identifier eissn1528-9028
    keywordsEngines
    keywordsSimulation
    keywordsDesign
    keywordsModeling
    keywordsVehicles
    keywordsErrors
    keywordsFault diagnosis
    keywordsTires
    keywordsWheels
    keywordsForce
    keywordsPatient diagnosis
    keywordsElectric vehicles
    keywordsControl equipment AND Control systems
    treeJournal of Dynamic Systems, Measurement, and Control:;2012:;volume( 134 ):;issue: 002
    contenttypeFulltext
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