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Fault Estimation and Fault-tolerant Control for In-wheel Motor Electric Vehicles

Zhang, Guoguang
http://orcid.org/0000-0002-8289-1948
http://rave.ohiolink.edu/etdc/view?acc_num=osu1500421425793541

Abstract Details

2017, Doctor of Philosophy, Ohio State University, Mechanical Engineering.
With the fast development of batteries, sensors, and electric motors in the past decade, the ground vehicles are being increasingly electrified. With more sensors and actuators being equipped, they may suffer from increased possibility of sensor and actuator faults. This dissertation therefore addresses the fault estimation for sensors and actuators as well as fault-tolerant control for one type of electrified ground vehicle, i.e., the in-wheel motor electric vehicle. First, a prototype in-wheel motor electric vehicle is presented and the experimental platform is discussed. Then the problem of sensor fault estimation and reconstruction of contaminated signal is studied. Vehicle yaw rate signal is chosen as the contaminated signal and a robust gain-scheduling observer is proposed accordingly. Second, the steering motor fault estimation approach is developed because steering motor faults always impose a great threat to vehicle stability and safety. Furthermore, fault-type identification is also considered, which can provide detailed information of the type and magnitude of the actuator fault. Last, to deal with actuator fault and recover the faulty vehicle, an active fault-tolerant control system is proposed for in-wheel motor electric vehicles. It uses a baseline controller to accommodate actuator faults and stabilize the faulty vehicle when an actuator fault occurs. Actuator fault is detected and estimated by the fault detection and diagnosis mechanism. After that, a proper reconfigurable controller is switched on to recover the faulty vehicle. The proposed sensor and actuator fault estimation approaches and active fault-tolerant control system have been validated through simulations in CarSim® and/or vehicle experimental tests on an electric vehicle. At the end, future work and directions are given, which may further address the problems discussed in this dissertation.
Junmin Wang (Advisor)
Ahmet Kahraman (Committee Member)
Chia-Hsiang Menq (Committee Member)
Yiying Wu (Other)
156 p.
Engineering; Mechanical Engineering
electric vehicle; in-wheel motor; active steering; fault estimation; fault-tolerant control; robust control

Recommended Citations

Citations

  • Zhang, G. (2017). Fault Estimation and Fault-tolerant Control for In-wheel Motor Electric Vehicles [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500421425793541

    APA Style (7th edition)

  • Zhang, Guoguang. Fault Estimation and Fault-tolerant Control for In-wheel Motor Electric Vehicles. 2017. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1500421425793541.

    MLA Style (8th edition)

  • Zhang, Guoguang. "Fault Estimation and Fault-tolerant Control for In-wheel Motor Electric Vehicles." Doctoral dissertation, Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1500421425793541

    Chicago Manual of Style (17th edition)

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This open access ETD is published by The Ohio State University and OhioLINK.