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基于改进粒子群算法的TTCAN系统矩阵的优化 被引量:1

Optimizing for System Matrix of TTCAN Network Based on Improved Particle Swarm Optimization Algorithm
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摘要 在基于时间触发的CAN总线控制系统中,TTCAN协议的任务调度是一个很重要的问题。针对这一问题,提出了基于改进粒子群算法的TTCAN系统矩阵优化方法,给出了详细的优化过程,并对算法进行了仿真研究。结果表明,改进的粒子群算法有效地减少了CAN的干扰抖动问题,提高了TTCAN网络带宽利用率,使得在实时控制系统中总线负载达到峰值时仍然能得到可靠的传输。 Scheduling of TTCAN protocol was an important problem in CAN bus control system based time trigger..An algorithm of optimizing TTCAN system matrix based on improved particle swarm was designed and the implementation of the algorithm was given in detail. The simulation results show that the algorithm is effective in reducing CAN interference jitter problem, the TTCAN network bandwidth utilization is improved and can still transfer reliably when bus load reached its peak in real-time control system.
出处 《化工自动化及仪表》 CAS 北大核心 2009年第2期11-13,18,共4页 Control and Instruments in Chemical Industry
基金 国家自然科学基金资助项目(60474030)
关键词 TTCAN 系统矩阵 粒子群算法 TTCAN system matrix particle swarm optimization algorithm
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