外文翻译--基于模糊逻辑的AMT离合器结合控制研究

附录 A 外文文献 Study of Controlling Clutch Engagement for AMT Based on Fuzzy Logic TAN G Xia-qing , HOU Chao-zhen , CHEN Yun-chuang Abstract : The control of the clutch engagement for an automatic mechanical transmission in the process of a tracklayer getting to start is studied. The dynamic model of power transmission and automatic clutch system is developed. Using tools of Simulink , the transient characteristics during the vehicle starting , including the jerk and the clutch slip time , are provided here. Based on the analyses of the simulation results and driver s experiences , a fuzzy controller is designed to control the clutch engagement . Simulation results verify its value. Key words : clutch ； automatic transmission ； fuzzy control The automatic mechanical transmission (AMT) has several advantages , such as simpleness , higher efficiency and lower costs. But these benefits come from settling a series of challenging control problem. For example , it is difficult and complex for an AMT to properly control the clutch engagement while the vehicle starting , because different drivers have different intentions ( for example smooth start and fast start) , the second cause is that the control goals of lengthening the clutch life and smoothly starting vehicle are contradictory. So it is an important research field for AMT , and some researchers are studying this problem too. The focus of this paper is to study the control of clutch engagement for AMT while the tracklayer starts. In most cases , experiment methods are used to improve starting quality , however , they require much effort and time to develop a new control algorithm and to investigate the effect of this design. On the contrary , a simulation method has the merit of saving money and time , and overcomes the restrictions of experimental conditions. The fuzzy controller is designed based on the analysis of the simulation results and drivers experience. The organization of the paper is as follows. First , the system model is described , along with some simulation results. Secondly , the fuzzy control strategy of clutch engagement is developed. Finally ,conclusions from this work , as well as recommendation for future work , are also outlined. The control goal of the clutch control system is to ensure the vehicle starting according to drivers intention and make the clutch engage smoothly and the jerk as small as possible. Based on the analysis of the simulation results and drivers experience , we have the following conclusions. The accelerator pedal indicates drivers intention and his judgement on the environment and vehicles states. The larger is , the higher the engaging speed vcom should be. The engine rotational speed e indicates its carrying capacity. The larger e is , the stronger the carrying capacity is. The r is the speed ratio between the passive and the active departments of the clutch which can be expressed by r = c / e . It indicates the slip state of the clutch. The larger r is , the higher the engaging speed vcom should be. Consequently , the control strategy is expressed as follows : Regulate the engine rotational speed es according to the signal of the accelerator pedal before engaging the clutch. The larger is , the higher es should be. While engaging the clutch , the engaging speed vcom is decided by the accelerator pedal , the engine rotational speed e and the speed ratio r by using fuzzy logic. Regulate the throttle opening as the driver regulates the accelerator pedal .The fuzzy logic approach is used here to control the engaging speed of the clutch .The engine rotational speed e and engaging speed of the clutch vcom are normalized. Following this method , the i-th control rule can be written as Ri : If = Aj and r = Bj and e = Ci then vcom = Dj . Here , A j is the fuzzy set of the accelerator pedal , Bj is the fuzzy set of the engine rotational speed e , Cj is the fuzzy set of the speed ratio r and Dj is the fuzzy set of the clutch engaging speed vcom. Conclusion The key point of the vehicle start is to accomplish the drivers intention and ensure the vehicle starting smoothly. The model results can be used to study the clutch engagement . To overcome the difficulty of clutch control , a fuzzy control strategy is proposed based on the states of accelerator pedal , engine rational speed e and speed ratio r. Simulation indicates it is valuable. The future work is to optimize the parameters of the membership function in experiment and test its effects. 附录 B 外文文献翻译 基于模糊逻辑的 AMT离合器结合控制研究 汤霞清 , 侯朝桢 , 陈云窗 摘 要 : 研究具有机械式自动变速器的履带式车辆起步时离合器结合控制问题。 通过建立车辆动力学和自动离 合器的数学模型并采用 Simulink 仿真工具 ,研究了车辆起步时离合器平滑时间和冲击度等动态特性。 基于对仿真结果和驾驶员操作经验的分析 ,制定了车辆起步时离合器结合速度的模糊控制策略。 仿真表明该方法具有较好的控制特性。 关键词 : 离合器； 自动变速器； 模糊控制 机械式自动变速器（ AMT）具有结构简单、效率高和成本低等优点。但是这些好处却带来了一系列具有挑战性的控制问题。例如，在车辆起步时，适当地控制离合器结合十分困难和复杂，因为不同的驾驶员意图不同（例如平顺起步和迅速起步），第二个原因是达到延长离合器 使用寿命和平顺起步的控制目标是对立的。所以机械式自动变速器是一项重要的研究，并且很多研究人员也都致力于这个问题。 本文的重点是研究具有机械式自动变速器履带式车辆起步时离合器结合控制问题。在大多数情况下，实验方法用于提高起步质量，然而设计需要大量时间和精力。相反，一个省时省力的控制方法克服了实验条件的限制。根据仿真结果分析和驾驶员经验设计一种模糊控制器。 本文的设计过程如下：首先描述系统模型，并提出仿真结果；其次是离合器接合模糊控制策略的设计与开发；最后得出结论并提出建议。 离合器控制系统的控制目标是确保车辆 起步时，根据驾驶员的意图，使离合器接合平顺并且冲击度尽可能小。根据仿真结果和驾驶员的经验分析得到以下结论： 油门踏板深度反应了驾驶员意图和对环境判断以及车辆的状况。越大，接合速度 vcom越大。 发动机转速 e 反应承载能力。 e 越大，承载能力越强。 r 为离合器从动部分和主动部分的转速比，可表示为 r = c / e 。反应了离合器滑移状态。 r 越大，接合速度 vcom越大。因此控制策略如下： 在离合器接合之前，根据油门踏板深度信号，调节发动机转速 es。越大， es 越大。 离合器接合时，接合速度 vcom通过模糊逻辑，取决于油门踏板深度、发动机转速 e 和转速比 r。 随着驾驶员改变油门踏板深度改变节气门开度。采用模糊逻辑的方法控制离合器接合速度。发动机转速 e 和离合器接合速