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Vehicle Parameter Identification and...

Hong, Sanghyun.

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Vehicle Parameter Identification and its Use in Control for Safe Path Following.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Vehicle Parameter Identification and its Use in Control for Safe Path Following./
Author:	Hong, Sanghyun.
Description:	116 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-02(E), Section: B.
Contained By:	Dissertation Abstracts International76-02B(E).
Subject:	Mechanical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3640450
ISBN:	9781321259124

Vehicle Parameter Identification and its Use in Control for Safe Path Following.
Hong, Sanghyun.

Vehicle Parameter Identification and its Use in Control for Safe Path Following. - 116 p.

Source: Dissertation Abstracts International, Volume: 76-02(E), Section: B.

Thesis (Ph.D.)--University of California, Berkeley, 2014.

This item must not be sold to any third party vendors.

This thesis develops vehicle parameter identification algorithms, and applies identified parameters to a controller designed for safe path following.

ISBN: 9781321259124Subjects--Topical Terms:

649730
Mechanical engineering.

Vehicle Parameter Identification and its Use in Control for Safe Path Following.
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020 $a 9781321259124
035 $a (MiAaPQ)AAI3640450
035 $a AAI3640450
040 $a MiAaPQ $c MiAaPQ
100 1 $a Hong, Sanghyun. $3 3175321
245 1 0 $a Vehicle Parameter Identification and its Use in Control for Safe Path Following.
300 $a 116 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-02(E), Section: B.
500 $a Adviser: John Karl Hedrick.
502 $a Thesis (Ph.D.)--University of California, Berkeley, 2014.
506 $a This item must not be sold to any third party vendors.
520 $a This thesis develops vehicle parameter identification algorithms, and applies identified parameters to a controller designed for safe path following.
520 $a A tire-road friction coefficient is estimated using an in-tire accelerometer to measure acceleration signals directly from the tires. The proposed algorithm first determines a tire-road contact patch with a radial acceleration profile. The estimation algorithm is based on tire lateral deflections obtained from lateral acceleration measurements only inside the contact patch. A new model is derived for the lateral deflection profiles, which provides robustness to orientation-variation of the accelerometer body frame during tire rotation.
520 $a A novel algorithm is developed to identify three inertial parameters: sprung mass, yaw moment of inertia, and longitudinal position of the center of gravity. A correlation of inertial parameters is derived and is used for the identification algorithm. Inertial parameters and vehicle states are simultaneously estimated with a dual unscented Kalman filter based on a nonlinear vehicle model. In order to activate and de-activate different modes of the proposed algorithm, a local observability analysis is performed with the nonlinear vehicle model. The performance and robustness of the proposed approach are demonstrated with extensive CarSim simulations and experimental tests on a flat road with a constant tire-road friction coefficient.
520 $a Following a curved road can be dangerous if autonomous vehicles do not take roll motion into consideration. A control algorithm is designed to prevent a dangerous vehicle state induced by roll motion while following a curved road. Roll motion is suppressed throughout cornering with model predictive control. A four-wheel nonlinear vehicle model with roll dynamics and a tire brush model are utilized for the prediction of the vehicle state. An optimal balance in the trade-off between vehicle speed and roll motion is achieved with full braking as a control actuator. Identified vehicle inertial parameters are incorporated into the designed controller. CarSim simulations illustrate the performance of the proposed controller and the effect of the vehicle parameter estimator.
590 $a School code: 0028.
650 4 $a Mechanical engineering. $3 649730
650 4 $a Automotive engineering. $3 2181195
690 $a 0548
690 $a 0540
710 2 $a University of California, Berkeley. $b Mechanical Engineering. $3 1043692
773 0 $t Dissertation Abstracts International $g 76-02B(E).
790 $a 0028
791 $a Ph.D.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3640450