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1、附錄A 外文文獻(xiàn)Study of Controlling Clutch Engagement forAMT Based on Fuzzy LogicTAN G Xia-qing , HOU Chao-zhen , CHEN Yun-chuangAbstract : 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 tr

2、ansmission 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 drivers experiences , a fuzzy controller is

3、designed to control the clutch engagement . Simulation results verify its value.Key words : clutch ; automatic transmission ; fuzzy controlThe automatic mechanical transmission (AMT) has several advantages , such as simpleness , higher efficiency and lower costs. But these benefits come from settlin

4、g 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

5、 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 c

6、ases , 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

7、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

8、 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 po

9、ssible. 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 v should be. The engine rotati

10、onal speed indicates its carrying capacity. The larger 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 =/ . It indicates the slip state of the clutch. The larger r is , the higher the engagi

11、ng speed v 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 v is decide

12、d 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 eng

13、aging 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 v = 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 spe

14、ed ratio r and Dj is the fuzzy set of the clutch engaging speed v. ConclusionThe 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

15、 , a fuzzy control strategy is proposed based on the states of accelerator pedal , engine rational speed 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

16、清, 侯朝楨, 陳云窗摘要: 研究具有機(jī)械式自動(dòng)變速器的履帶式車(chē)輛起步時(shí)離合器結(jié)合控制問(wèn)題。 通過(guò)建立車(chē)輛動(dòng)力學(xué)和自動(dòng)離合器的數(shù)學(xué)模型并采用Simulink 仿真工具,研究了車(chē)輛起步時(shí)離合器平滑時(shí)間和沖擊度等動(dòng)態(tài)特性。 基于對(duì)仿真結(jié)果和駕駛員操作經(jīng)驗(yàn)的分析,制定了車(chē)輛起步時(shí)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(dòng)變速器; 模糊控制機(jī)械式自動(dòng)變速器(AMT)具有結(jié)構(gòu)簡(jiǎn)單、效率高和成本低等優(yōu)點(diǎn)。但是這些好處卻帶來(lái)了一系列具有挑戰(zhàn)性的控制問(wèn)題。例如,在車(chē)輛起步時(shí),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),

17、第二個(gè)原因是達(dá)到延長(zhǎng)離合器使用壽命和平順起步的控制目標(biāo)是對(duì)立的。所以機(jī)械式自動(dòng)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(gè)問(wèn)題。本文的重點(diǎn)是研究具有機(jī)械式自動(dòng)變速器履帶式車(chē)輛起步時(shí)離合器結(jié)合控制問(wèn)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(shí)間和精力。相反,一個(gè)省時(shí)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(guò)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(kāi)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(chē)輛起步時(shí),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(mén)踏板深度反應(yīng)了駕駛員意圖和對(duì)環(huán)境判斷以及車(chē)輛的狀況。越大,接合速度v越大。 發(fā)動(dòng)機(jī)轉(zhuǎn)速反應(yīng)承載能力。越大,承載能力越強(qiáng)。 r為離合器從動(dòng)部分和主動(dòng)部分的轉(zhuǎn)速比,可表示為r =/。反應(yīng)了離合器滑移狀態(tài)。r越大,接合速度v越大。因此控制策略如下: 在離合器接合之前,根據(jù)油門(mén)踏板深度信號(hào),調(diào)節(jié)發(fā)動(dòng)機(jī)轉(zhuǎn)速es。越大,es越大。 離合器接合時(shí),接合速度v通過(guò)模糊邏輯,取決于油門(mén)踏板深度、發(fā)動(dòng)機(jī)轉(zhuǎn)速e和轉(zhuǎn)速比r。 隨著駕駛員改變油門(mén)踏板深度改變節(jié)氣門(mén)開(kāi)度。采用模糊邏輯的

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