Abstract
This paper presents the modelling, simulation, and implementation of an ACC system for a robotic vehicle using Fuzzy Logic control strategy. Implementation has been carried out using the graphical programming environment of LabVIEW and a robotic vehicle based on a real-time single board computer. The paper demonstrates control design process including the implementation of the fuzzy logic design rules, showing a good correlation between simulation behaviour and real-life implementation. The work is a part of a larger research informed teaching project for teaching engineering at Kingston University London.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Gerdes, J.C., Hedrick, J.K.: Vehicle speed and spacing control via coordinated throttle and brake actuation. Control Engineering Practice 5(11), 1607–1614 (1997)
Holve, R., Protzel, P., Naab, K.: Generating fuzzy rules for the acceleration control of an adaptive cruise control system. In: 1996 Biennial Conference of the North American IEEE Fuzzy Information Processing Society, NAFIPS (1996)
Martinez, J., Canudas-de-Wit, C.: A Safe Longitudinal control for adaptive cruise control and stop-and-go scenarios. IEEE Transactions on Control Systems Technology 15(2), 246–258 (2007)
National Instruments Fuzzy Logic Manual (2009), http://www.ni.com/pdf/manuals/372192d.pdf (retrieved May 12, 2013)
Shakouri, P., Collier, G., Ordys, A.: Teaching control using NI starter kit robot. In: Proc. IEEE UKACC (2012)
Shakouri, P., Ordys, A., Laila, D.S., Askari, M.R.: Adaptive Cruise Control System: Comparing Gain-Scheduling PI and LQ Controllers. In: 18th IFAC Proc. Elsevier (2011)
Swain, N.K.: A survey of application of fuzzy logic in intelligent transportation systems (ITS) and rural ITS. In: Proc. IEEE SoutheastCon (2006)
Zimmerman, H.-J.: Fuzzy Set Theory and Its Application. Kluwer Academic Publishers, Dordrecht (2001)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Hassan, A., Collier, G. (2014). Adaptive Cruise Control for a Robotic Vehicle Using Fuzzy Logic. In: Březina, T., Jabloński, R. (eds) Mechatronics 2013. Springer, Cham. https://doi.org/10.1007/978-3-319-02294-9_68
Download citation
DOI: https://doi.org/10.1007/978-3-319-02294-9_68
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02293-2
Online ISBN: 978-3-319-02294-9
eBook Packages: EngineeringEngineering (R0)