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.
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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
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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
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