Scheduling design of automotive TTCAN Control system based on average loading

To meet high performances of automotive time-triggered CAN (TTCAN) real-time control bus, a key problem is how to distribute time windows within system matrix of TTCAN, a new harmonic periods makeup (HPM) scheduling optimization algorithm based on average loading was proposed and the scheduling stra...

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Bibliographic Details
Main Authors: Shuju Wang, Tianxia Zhang, Guosheng Zhang, Liquan Yao
Format: Conference Proceeding
Language:chi ; eng
Subjects:
Artificial neural networks
Automation
Automotive engineering
Average loading
Harmonic periods
Job shop scheduling
Loading
Processor scheduling
Schedule
TTCAN
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Summary:To meet high performances of automotive time-triggered CAN (TTCAN) real-time control bus, a key problem is how to distribute time windows within system matrix of TTCAN, a new harmonic periods makeup (HPM) scheduling optimization algorithm based on average loading was proposed and the scheduling strategy was explained concretely. The HPM scheduling algorithm aimed to make event-triggered messages gain the maximum transmission times by minimizing the space occupied by time-triggered messages. A scheduling tool for TTCAN networks that generates a valid scheduling table using HPM was presented. Finally, a PSA message set is introduced to validate the algorithm,through optimization for the message set, the time performances of event triggered messages and then the whole system performances get improved.
DOI:10.1109/WCICA.2010.5554179