Abstract
Advances in embedded system design, has led to development of autonomous systems in cruise control where real-time scheduling and control aspects have to be integrated. A synchronization of scheduling and control aspects requires consideration of task temporal attributes and control dynamics. In this paper an algorithm has been developed and simulated in Matlab with TORSCHE1 toolbox that enables a system designer to explore control strategies, timing aspects during real-time scheduling, various interactions between control, scheduling and real-time constraints. P, PI control strategies have been used and simulation runs monitor the real-time performance. A GUI with real-time scheduling and control dynamics display, facilitates a fast prototyping design. To validate the algorithm for autonomous cruise system, different real-time scenarios are considered for speed and safe distance.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Björnander, S., Grunske, L.: Adaptive Cruise Controllers – A Literature Review. Technical Report, Faculty of Information and Communications Technologies (August 8, 2008)
Vahidi, A., Eskandarian, A.: Research advances in intelligent collision avoidance and adaptive cruise control. IEEE Transactions on Intelligent Transportation Systems 4(3), 143–153 (2003) ISSN 1524-9050
Cervin, A.: Integrated Control and Real-Time Scheduling, Thesis report, Lund Institute of Technology, Lund (2003)
Audsley, N., Burns, A., Davis, R., Tindell, K., Welling, A.: Real-time system scheduling. In: Predictably Dependable Computer Systems, pp. 41–52. Springer, Heidelberg (1995)
Ramamritham, K., Stankovic, J.A.: Scheduling Algorithms and Operating Systems Support for Real-Time Systems. Proceedings of IEEE 82(1) (January 1994)
Kakade, R.S.: Automotive Cruise Control System. Thesis report, Indian Institute of Technology, Bombay (July 2007)
KPIT, Autonomous Vehicles, TechTalk@KPIT. Journal of KPIT Technologies Limited 6(4) (October-December 2013)
Naus, G.J.L.: Model-based control for automotive application, Ph.D. thesis, Eindhoven University of Technology, Eindhoven, Netherlands (2010)
Henriksson, D.: Resource-Constrained Embedded Control and Computing Systems, Thesis report, Lund Institute of Technology, Lund (2006)
Staines, A.S.: Modelling and Analysis of Real Time Control Systems: A Cruise Control System Case Study. Recent Advances in Technology. InTech Open (2009)
Swetha, A., Radhamani, P.V., Punnekkat, S.: Design, Analysis and Implementation of Improved Adaptive Fault Tolerant Model for Cruise Control Multiprocessor System. International Journal of Computer Applications (0975 – 8887) 86(15) (January 2014)
Control Tutorial for Matlab & Simulink, http://ctms.engin.umich.edu
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Swetha, A. et al. (2015). Algorithm for Autonomous Cruise Control System - Real Time Scheduling and Control Aspects. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 327. Springer, Cham. https://doi.org/10.1007/978-3-319-11933-5_49
Download citation
DOI: https://doi.org/10.1007/978-3-319-11933-5_49
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11932-8
Online ISBN: 978-3-319-11933-5
eBook Packages: EngineeringEngineering (R0)