Analysis of nonlinear adaptive cruise control vehicle model during cut-in manoeuvre

Zeeshan Ali, Saleh Jummani, Yasin Shaikh and Hussain Bux Marri

International Journal of Industrial and Systems Engineering, 2015, vol. 20, issue 3, 263-280

Abstract: A parametric study of a vehicle following control law, based on the model predictive control method, to perform the transition manoeuvres for a nonlinear adaptive cruise control vehicle is presented in this paper. The vehicle dynamic model is based on the continuous-time domain and simulates the real dynamics of the sub-vehicle models for steady-state and transient operations. The nonlinear ACC vehicle has been analysed during a cut-in manoeuvre, i.e., when another vehicle comes in between the ACC and preceding vehicles during vehicle-following operation. The simulation results show that the proposed model predictive controller can be used for the similar critical scenarios and can execute the transition manoeuvre successfully in the presence of complex dynamics within the constraint boundaries.

Keywords: adaptive cruise control; ACC; collision avoidance; vehicle control; model predictive control; MPC; acceleration tracking; nonlinear control; adaptive control; vehicle modelling; cut-in manoeuvres; vehicle dynamics; dynamic modelling; simulation; critical events; transition manoeuvres. (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=69948 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:20:y:2015:i:3:p:263-280

Access Statistics for this article

More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().