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Hardware in the loop validation of a gradient and weight estimation algorithm and longitudinal speed control using a laboratory model car

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Hardware in the loop validation of a gradient and weight estimation algorithm and longitudinal speed control using a laboratory model car. / Foreman, J P; Yazdouni, M; Russo, S; Chan, G; Spiers, A; Herrmann, G; Barber, P.

International Conference on Systems Engineering (ICSE). 2009.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Foreman, JP, Yazdouni, M, Russo, S, Chan, G, Spiers, A, Herrmann, G & Barber, P 2009, Hardware in the loop validation of a gradient and weight estimation algorithm and longitudinal speed control using a laboratory model car. in International Conference on Systems Engineering (ICSE).

APA

Foreman, J. P., Yazdouni, M., Russo, S., Chan, G., Spiers, A., Herrmann, G., & Barber, P. (2009). Hardware in the loop validation of a gradient and weight estimation algorithm and longitudinal speed control using a laboratory model car. In International Conference on Systems Engineering (ICSE)

Vancouver

Foreman JP, Yazdouni M, Russo S, Chan G, Spiers A, Herrmann G et al. Hardware in the loop validation of a gradient and weight estimation algorithm and longitudinal speed control using a laboratory model car. In International Conference on Systems Engineering (ICSE). 2009

Author

Foreman, J P ; Yazdouni, M ; Russo, S ; Chan, G ; Spiers, A ; Herrmann, G ; Barber, P. / Hardware in the loop validation of a gradient and weight estimation algorithm and longitudinal speed control using a laboratory model car. International Conference on Systems Engineering (ICSE). 2009.

Bibtex

@inproceedings{dde12eac996f4b38b27008f642555f70,
title = "Hardware in the loop validation of a gradient and weight estimation algorithm and longitudinal speed control using a laboratory model car",
abstract = "A road gradient and vehicle weight estimator given the driving torque and the wheel speed is developed and validated using a small sized model car in the laboratory. It is shown here that a simple mathematical model of the car is sufficient (including a simple friction model, a model for driving torque and a gravity model due to road gradient) to develop an adaptive, model-based observer. This observer estimates, besides velocity and car position, the mass, friction and road gradient inherent to the car, given driving torque and velocity. Persistent excitation gives theoretical and practical guarantees for accurate estimation of mass and road gradient in addition to the bounded stability guarantees given through Lyapunov theory. For theses tests, a model car system is designed and built to emulate a car system. A test rig consisting, of a 6m long ramp with 3 movable sections, is employed. Each section of the ramp may be angled between and from the horizontal for realistic tests.",
author = "Foreman, {J P} and M Yazdouni and S Russo and G Chan and A Spiers and G Herrmann and P Barber",
note = "Conference Organiser: Coventry University",
year = "2009",
language = "English",
booktitle = "International Conference on Systems Engineering (ICSE)",

}

RIS - suitable for import to EndNote

TY - GEN

T1 - Hardware in the loop validation of a gradient and weight estimation algorithm and longitudinal speed control using a laboratory model car

AU - Foreman, J P

AU - Yazdouni, M

AU - Russo, S

AU - Chan, G

AU - Spiers, A

AU - Herrmann, G

AU - Barber, P

N1 - Conference Organiser: Coventry University

PY - 2009

Y1 - 2009

N2 - A road gradient and vehicle weight estimator given the driving torque and the wheel speed is developed and validated using a small sized model car in the laboratory. It is shown here that a simple mathematical model of the car is sufficient (including a simple friction model, a model for driving torque and a gravity model due to road gradient) to develop an adaptive, model-based observer. This observer estimates, besides velocity and car position, the mass, friction and road gradient inherent to the car, given driving torque and velocity. Persistent excitation gives theoretical and practical guarantees for accurate estimation of mass and road gradient in addition to the bounded stability guarantees given through Lyapunov theory. For theses tests, a model car system is designed and built to emulate a car system. A test rig consisting, of a 6m long ramp with 3 movable sections, is employed. Each section of the ramp may be angled between and from the horizontal for realistic tests.

AB - A road gradient and vehicle weight estimator given the driving torque and the wheel speed is developed and validated using a small sized model car in the laboratory. It is shown here that a simple mathematical model of the car is sufficient (including a simple friction model, a model for driving torque and a gravity model due to road gradient) to develop an adaptive, model-based observer. This observer estimates, besides velocity and car position, the mass, friction and road gradient inherent to the car, given driving torque and velocity. Persistent excitation gives theoretical and practical guarantees for accurate estimation of mass and road gradient in addition to the bounded stability guarantees given through Lyapunov theory. For theses tests, a model car system is designed and built to emulate a car system. A test rig consisting, of a 6m long ramp with 3 movable sections, is employed. Each section of the ramp may be angled between and from the horizontal for realistic tests.

M3 - Conference contribution

BT - International Conference on Systems Engineering (ICSE)

ER -