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基于量子框架的重卡AMT系统逻辑建模研究 被引量:2

Research on Logic Modeling of Heavy Truck AMT Based on Quantum Framework (QF)
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摘要 针对应用传统有限状态机方法建立的行为模型存在可读性差、系统功能扩展、裁剪困难等缺点,提出将量子框架(QF)应用于重卡机械式自动变速箱(AMT)开发中。首先介绍了量子框架的基本特点及其运行机制,然后重点分析了AMT系统的工作过程,将整个系统分解为四个相互独立的活动对象,分别建立了基于量子框架(QF)的状态机模型,最后进行了实车试验。结果表明,在重卡机械式自动变速箱(AMT)开发中应用量子框架技术,显著地提高了设计效率、代码可读性以及系统的可维护性。 The behavior model using traditional Finite State Machine (FSM) method often has the bad readability. In addition, it's difficult to expand and cut out the system function. So a new modeling approach based on Quantum Framework (QF) was put forward for heavy truck mechanical Automated Mechanical Transmission (AMT) development. The essential features and movement mechanism of QF were introduced firstly; then the work process of heavy truck AMT was analyzed in detail. The overall AMT system was decomposed into four independent active objects mutually, and the state machine model based on Quantum Framework (QF) was established individually. Finally, the system was tested in an actual vehicle. The result shows that the application of QF technology in AMT system development can significantly increase the efficiency of design, code readability and maintainability of the system.
出处 《系统仿真学报》 CAS CSCD 北大核心 2009年第13期3855-3859,共5页 Journal of System Simulation
基金 国家自然科学基金(50575129)
关键词 自动变速箱 有限状态机 量子框架 活动对象 AMT Finite State Machine (FSM) Quantum Framework (QF) active object
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