外文翻譯--基于模糊邏輯的AMT離合器結(jié)合控制研究

附錄 A 外文文獻(xiàn) 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. 附錄 B 外文文獻(xiàn)翻譯 基于模糊邏輯的 AMT離合器結(jié)合控制研究 湯霞清 , 侯朝楨 , 陳云窗 摘 要 : 研究具有機(jī)械式自動變速器的履帶式車輛起步時離合器結(jié)合控制問題。 通過建立車輛動力學(xué)和自動離 合器的數(shù)學(xué)模型并采用 Simulink 仿真工具 ,研究了車輛起步時離合器平滑時間和沖擊度等動態(tài)特性。 基于對仿真結(jié)果和駕駛員操作經(jīng)驗(yàn)的分析 ,制定了車輛起步時離合器結(jié)合速度的模糊控制策略。 仿真表明該方法具有較好的控制特性。 關(guān)鍵詞 : 離合器； 自動變速器； 模糊控制 機(jī)械式自動變速器（ AMT）具有結(jié)構(gòu)簡單、效率高和成本低等優(yōu)點(diǎn)。但是這些好處卻帶來了一系列具有挑戰(zhàn)性的控制問題。例如，在車輛起步時，適當(dāng)?shù)乜刂齐x合器結(jié)合十分困難和復(fù)雜，因?yàn)椴煌鸟{駛員意圖不同（例如平順起步和迅速起步），第二個原因是達(dá)到延長離合器 使用壽命和平順起步的控制目標(biāo)是對立的。所以機(jī)械式自動變速器是一項(xiàng)重要的研究，并且很多研究人員也都致力于這個問題。 本文的重點(diǎn)是研究具有機(jī)械式自動變速器履帶式車輛起步時離合器結(jié)合控制問題。在大多數(shù)情況下，實(shí)驗(yàn)方法用于提高起步質(zhì)量，然而設(shè)計(jì)需要大量時間和精力。相反，一個省時省力的控制方法克服了實(shí)驗(yàn)條件的限制。根據(jù)仿真結(jié)果分析和駕駛員經(jīng)驗(yàn)設(shè)計(jì)一種模糊控制器。 本文的設(shè)計(jì)過程如下：首先描述系統(tǒng)模型，并提出仿真結(jié)果；其次是離合器接合模糊控制策略的設(shè)計(jì)與開發(fā)；最后得出結(jié)論并提出建議。 離合器控制系統(tǒng)的控制目標(biāo)是確保車輛 起步時，根據(jù)駕駛員的意圖，使離合器接合平順并且沖擊度盡可能小。根據(jù)仿真結(jié)果和駕駛員的經(jīng)驗(yàn)分析得到以下結(jié)論： 油門踏板深度反應(yīng)了駕駛員意圖和對環(huán)境判斷以及車輛的狀況。越大，接合速度 vcom越大。 發(fā)動機(jī)轉(zhuǎn)速 e 反應(yīng)承載能力。 e 越大，承載能力越強(qiáng)。 r 為離合器從動部分和主動部分的轉(zhuǎn)速比，可表示為 r = c / e 。反應(yīng)了離合器滑移狀態(tài)。 r 越大，接合速度 vcom越大。因此控制策略如下： 在離合器接合之前，根據(jù)油門踏板深度信號，調(diào)節(jié)發(fā)動機(jī)轉(zhuǎn)速 es。越大， es 越大。 離合器接合時，接合速度 vcom通過模糊邏輯，取決于油門踏板深度、發(fā)動機(jī)轉(zhuǎn)速 e 和轉(zhuǎn)速比 r。 隨著駕駛員改變油門踏板深度改變節(jié)氣門開度。采用模糊邏輯的方法控制離合器接合速度。發(fā)動機(jī)轉(zhuǎn)速 e 和離合器接合速