國立虎尾科技大學 |

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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Fault Estimation and Fault-tolerant Control for In-wheel Motor Electric Vehicles./
Author:	Zhang, Guoguang.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	156 p.
Notes:	Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.
Contained By:	Dissertation Abstracts International79-07B(E).
Subject:	Mechanical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10760338
ISBN:	9780355661675

Fault Estimation and Fault-tolerant Control for In-wheel Motor Electric Vehicles.
Zhang, Guoguang.

Fault Estimation and Fault-tolerant Control for In-wheel Motor Electric Vehicles. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 156 p.

Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.

Thesis (Ph.D.)--The Ohio State University, 2017.

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.

ISBN: 9780355661675Subjects--Topical Terms:

557493
Mechanical engineering.

Fault Estimation and Fault-tolerant Control for In-wheel Motor Electric Vehicles.
LDR:02890nam a2200313 4500 001 890793
005 20180727091503.5
008 180907s2017 ||||||||||||||||| ||eng d
020 $a 9780355661675
035 $a (MiAaPQ)AAI10760338
035 $a (MiAaPQ)OhioLINK:osu1500421425793541
035 $a AAI10760338
040 $a MiAaPQ $c MiAaPQ
100 1 $a Zhang, Guoguang. $3 1148710
245 1 0 $a Fault Estimation and Fault-tolerant Control for In-wheel Motor Electric Vehicles.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 156 p.
500 $a Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.
500 $a Adviser: Junmin Wang.
502 $a Thesis (Ph.D.)--The Ohio State University, 2017.
520 $a 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.
520 $a 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.
590 $a School code: 0168.
650 4 $a Mechanical engineering. $3 557493
650 4 $a Engineering. $3 561152
690 $a 0548
690 $a 0537
710 2 $a The Ohio State University. $b Mechanical Engineering. $3 1148711
773 0 $t Dissertation Abstracts International $g 79-07B(E).
790 $a 0168
791 $a Ph.D.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10760338