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分布式气电混合动力控制系统任务优化

Task Allocation and Optimization for Distributed Control System of Gas-Electric Hybrid
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摘要 针对气电混合动力控制中系统任务的最优化分配问题,建立分布式实时控制中系统硬件结构和应用事务的图论模型,将分布式应用中的任务分配过程抽象为这两个集合之间的映射,从系统总线和消息映射的角度,提出总线负载最小的任务分配方案。结合气电混合动力系统设计,采用遗传算法求解这个优化问题,并在试验台架上进行方案验证和总线分析。试验结果表明,该方案完全满足各种任务约束和资源约束,总线效率提高的同时资源消耗减少。 The paper studied the task allocation and optimization for the distributed control system of a gas-electric hybrid. The paper modeled the real-time system with a software-hardware architecture in graph theory and described the task allocation as the mapping of these two sets. An allocation scheme was proposed with the minimum busload and the optimization problem was solved by using the genetic algorithm in combination with the design process of a gas-electric hybrid bus. The scheme verification and the system bus analysis were conducted on the experimental platform. Test results show that the system bus is efficient, the resource consumption is reduced and this scheme meets the requirements tbr all the task and resource constraints.
出处 《汽车工程学报》 2014年第4期253-258,共6页 Chinese Journal of Automotive Engineering
基金 国家高技术发展计划(863计划)(2012AA111718)
关键词 分布式控制系统 气电混合动力客车 总线负载 最优化方法 distributed control system gas-electric hybrid bus CANbus load optimization method
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