Adaptive Cruise Control System: Comparing LQ and MP Controllers

Ding Liu; Jian Xiong

doi:10.4028/www.scientific.net/AMM.713-715.833

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715Adaptive Cruise Control System: Comparing LQ and...

Adaptive Cruise Control System: Comparing LQ and MP Controllers

Abstract:

A vehicle longitudinal dynamics model, its inverse model and a following model are established; and then two control applications namely gain scheduling Linear Quadratic (LQ) control and Model Predictive (MP) control are designed for adaptive cruise control (ACC) system; finally an integrated Simulink model including the nonlinear dynamic vehicle model and the ACC controller (either LQ or MP) 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.

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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

833-836

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.833

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Online since:

January 2015

Authors:

Ding Liu*, Jian Xiong

Keywords:

Adaptive Cruise Control System, Carsim, Linear Quadratic Optimal Control, Model Predictive Control, Simulink

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* - Corresponding Author

References

[1] A. Vahidi and A. Eskandarian: IEEE Transaction on Intelligent Transportation System, Vol. 4 (2003) No. 3, p.143.

Google Scholar

[2] S.B. Li, K.Q. Li, R. Rajamani and J. Q Wang: Control Systems Technology, Vol. 19 (2010) No. 3, p.645.

Google Scholar

[3] L.H. Luo, H. Liu, P. Li: Journal of Zhejiang University-Science A, Vol. 11 (2010) No. 3, p.191.

Google Scholar

[4] D. Corona, M. Lazar: In Proc. of IEEE Intl. Conf. on Control Application, (Germany, 2006), p.231.

Google Scholar

[5] V.L. Bageshwar, W. L Garrard and R. Rajamani: Vehicle Technology, Vol. 53 (2004) No. 5, p.1537.

Google Scholar

[6] S. G. Kim, M. Tomizuka and K. H. Cheng: International Journal of Automotive Technology, Vol. 13 (2012) No. 1, p.77.

Google Scholar

[7] D.Z. Hou: Study on Vehicle Forward Collision Avoidance System. (Ph.D., Tsinghua University, China 2004), p.136.

Google Scholar