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Optimizing For System Matrix Of TTCAN Network With Particle Swarm Optimization

Posted on:2009-06-19Degree:MasterType:Thesis
Country:ChinaCandidate:X Y ZhangFull Text:PDF
GTID:2178360272457350Subject:Detection Technology and Automation
Abstract/Summary:PDF Full Text Request
CAN (controller area network) as a Fieldbus faced the real-time control application, obtains the widespread application in each profession,by the characteristic of its short frame construction of data, the multi- hosts work way, the quick transmission speed, the long signal distance, the strong antijamming ability, the position arbitration, the inexpensive price and so on.However, CAN gains difficultly advantage in application of the great data exchanged,compared with used gradually the widespread Ethernet,because CAN is the lower bandwidth factor. The time-trigger Fieldbus is suitable for cycle data exchange of the process control situation, and obtain a better use factor,to the time-trigger fieldbus research, has the rise tendency in recent years. Based on time-trigger CAN,it not only is one kind of full time-trigger fieldbus, also inherited the prominent characteristic of the event-trigger CAN, had the better prospects for development.First, this article introduced the TTCAN protocol and its realization, detailedly analysed each composition element of implementing time-trigger mechanism in the TTCAN protocol,and its the maximum bandwidth factor and scheduler realization has researched in the TTCAN agreement. Then it is analyzed that the news model of the fixed priority scheduler algorithm (FPS),the most bad response time and the wrong model, came out the sufficient condition and the performance evaluation index of the system scheduler. The time-trigger Algorithm (TTA) introduced to the fixed priority scheduler algorithm,is proposed one kind TT-FPS based on the time-trigger. Using to information scheduler of electric vehicle for FPS based on DM and non-condition restriction TT-FPS,came out the corresponding performance parameter,provided the significant reference for the scheduler strategy improvement. Then introduced the principle and the development of Particle Swarm Optimization Algorithm, has in detail produced the System Matrix concrete structure principle, and has produced system matrix optimized step based on PSO, and applies this algorithm in the automobile control system, the using actual data has conducted the simulation research. The result indicated, because the message obtained the reasonable arrangement, causes the cycle to reduce very many, reduced the network transmission jitter as far as possible, raised the TTCAN network bandwidth factor. It is on the comparative analysis with the fixed priority scheduler algorithm. Finally it carried through the sum-up and the forecast, and had pointed out several further discussing question.
Keywords/Search Tags:TTCAN, Particle Swarm Optimization Algorithm, Fixed Priority Scheduler Algorithm, System Matrix
PDF Full Text Request
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