Adaptive cruise control system: comparing gain-scheduling PI and LQ controllers
Adaptive cruise control system: comparing gain-scheduling PI and LQ controllers
Over the recent years, a considerable growth in the number of vehicles on the road has been observed. This increases importance of vehicle safety and minimization of fuel consumption, subsequently prompting manufacturers to equip cars, with more advanced features such as adaptive cruise control (ACC)or collision avoidance and collision warning system (CWS). This paper investigates two control applications design namely the gain scheduling proportional-integral (GSPI) control and gain scheduling Linear Quadratic (GSLQ)control for ACC, covering a high range speed. The control system consist of two loops in cascade, with the inner loop controlling the vehicle speed and the outer loop switching between the cruise control (CC) and the ACC mode and calculating the reference speed. A nonlinear dynamic model of the vehicle is constructed and then a set of operating points is determined and then a of linear models is extracted in operating point. For each operating point, PI and LQ controllers are obtained off-line. An integrated Simulink model including the nonlinear dynamic vehicle model and the ACC controller (either PI or LQ) was used to test the controllers in various traffic scenarios. Comparison results between the two controllers applications is provided to show the validity of the design
978-3-902661-93-7
12964-12969
International Federation of Automatic Control
Syakouri, Payman
765ef1b3-9660-4413-a205-59dd1a36c3f8
Ordys, Andrzej W.
1722aa45-6eb4-4f11-919d-a5089af31933
Laila, Dina Shona
41aa5cf9-3ec2-4fdf-970d-a0a349bfd90c
Askari, Mohamad
39659e25-1515-4c8d-a583-803df9abfac6
28 August 2011
Syakouri, Payman
765ef1b3-9660-4413-a205-59dd1a36c3f8
Ordys, Andrzej W.
1722aa45-6eb4-4f11-919d-a5089af31933
Laila, Dina Shona
41aa5cf9-3ec2-4fdf-970d-a0a349bfd90c
Askari, Mohamad
39659e25-1515-4c8d-a583-803df9abfac6
Syakouri, Payman, Ordys, Andrzej W., Laila, Dina Shona and Askari, Mohamad
(2011)
Adaptive cruise control system: comparing gain-scheduling PI and LQ controllers.
In Proceedings of Adaptive Cruise Control System: Comparing Gain-Scheduling PI and LQ Controllers World Congress.
International Federation of Automatic Control.
.
(doi:10.3182/20110828-6-IT-1002.02250).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Over the recent years, a considerable growth in the number of vehicles on the road has been observed. This increases importance of vehicle safety and minimization of fuel consumption, subsequently prompting manufacturers to equip cars, with more advanced features such as adaptive cruise control (ACC)or collision avoidance and collision warning system (CWS). This paper investigates two control applications design namely the gain scheduling proportional-integral (GSPI) control and gain scheduling Linear Quadratic (GSLQ)control for ACC, covering a high range speed. The control system consist of two loops in cascade, with the inner loop controlling the vehicle speed and the outer loop switching between the cruise control (CC) and the ACC mode and calculating the reference speed. A nonlinear dynamic model of the vehicle is constructed and then a set of operating points is determined and then a of linear models is extracted in operating point. For each operating point, PI and LQ controllers are obtained off-line. An integrated Simulink model including the nonlinear dynamic vehicle model and the ACC controller (either PI or LQ) was used to test the controllers in various traffic scenarios. Comparison results between the two controllers applications is provided to show the validity of the design
More information
Published date: 28 August 2011
Venue - Dates:
18th IFAC World Congress, Milan, Italy, 2011-08-28 - 2011-09-02
Organisations:
Mechatronics
Identifiers
Local EPrints ID: 353680
URI: http://eprints.soton.ac.uk/id/eprint/353680
ISBN: 978-3-902661-93-7
PURE UUID: a997344e-45be-4e0d-97df-f3207cb50313
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Date deposited: 24 Jun 2013 13:59
Last modified: 14 Mar 2024 14:08
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Contributors
Author:
Payman Syakouri
Author:
Andrzej W. Ordys
Author:
Dina Shona Laila
Author:
Mohamad Askari
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