本文選題：電控機械式自動變速器(AMT)　切入點：起步控制　出處：《吉林大學(xué)》2016年碩士論文　論文類型：學(xué)位論文

【摘要】：電控機械式自動變速器(Automated Manual Transmission,簡稱AMT)是在手動機械變速器的基礎(chǔ)上安裝自動執(zhí)行機構(gòu)和電控單元,實現(xiàn)離合器和換擋操作自動化的一類自動變速器。由于AMT保留了手動變速器基本的變速器結(jié)構(gòu),與其他類型的自動變速器相比,其具有結(jié)構(gòu)簡單、易加工、成本低、傳動效率高等優(yōu)勢,符合我國汽車行業(yè)發(fā)展需求,被廣泛應(yīng)用到商用車和微型轎車。起步控制是AMT控制問題的重點與難點。由于干式離合器的存在,AMT的起步控制很難同時滿足平穩(wěn)起步減小沖擊度和快速起步減小離合器滑摩功的要求,這也制約著AMT的應(yīng)用推廣。另外,車輛本身的參數(shù)和行駛工況,例如離合器摩擦片的摩擦系數(shù)、車重、路面狀況、道路坡度等都是隨時變化的,這也給AMT起步控制帶來很大困難。為了解決這些AMT起步控制難題,本文提出了帶有模型誤差估計的優(yōu)化控制策略,該控制策略利用基于線性二次型優(yōu)化控制(Linear Quadratic Regulator,簡稱LQR)的算法對起步過程中的發(fā)動機轉(zhuǎn)速、離合器輸入輸出轉(zhuǎn)速差、傳動系的沖擊進行優(yōu)化,保證車輛快速平穩(wěn)起步,同時,該算法設(shè)計了模型誤差估計器對車輛參數(shù)和工況變化帶來的控制模型誤差進行估計,該估計值反饋給控制模型使車輛在參數(shù)和工況改變的情況下依然可以順利完成起步。針對該起步控制策略的研究,本文做了以下方面的工作:1、對AMT的基本知識、發(fā)展情況進行了學(xué)習(xí),著重研究了應(yīng)用在AMT起步的控制算法。分析了干式離合器的結(jié)構(gòu)、工作原理和AMT起步控制的評價指標,在此基礎(chǔ)上對常用的AMT起步控制策略進行了分析。2、通過對AMT工作原理、起步過程和控制算法的分析,確定了本文研究的主要內(nèi)容:考慮模型誤差估計的AMT起步優(yōu)化控制策略,并進行了控制算法的理論設(shè)計。3、利用專業(yè)軟件AMESim和AMTLAB/Simulink分別搭建了整車仿真模型和AMT起步控制算法模型,通過AMESim-Simulink聯(lián)合仿真的方式對算法進行了驗證,同時也對不帶有模型誤差估計的起步優(yōu)化控制算法進行仿真,與本算法的仿真結(jié)果進行比較。4、利用d SPACE工具搭建了實車試驗環(huán)境,對算法進行了實車測試,測試結(jié)果表明該算法不僅可以滿足不同起步意圖的起步過程,而且可以在車輛參數(shù)和工況發(fā)生變化時順利完成起步,并且起步過程滿足快速性平順性等評價要求,證明了算法的實用價值。
[Abstract]:Automatic mechanical transmission (Automated Manual Transmission, referred to as AMT) is the installation of automatic actuator and electronic control unit based on manual mechanical transmission, realize a kind of automatic transmission clutch and shift operation automation. Because the AMT retains the basic manual transmission gearbox structure, compared with other types of automatic transmission and it has the advantages of simple structure, easy processing, low cost, high transmission efficiency, in line with the development needs of the automotive industry in China, has been widely applied to commercial vehicles and mini cars. Starting control is AMT control key and difficult problem. Because the dry clutch, the starting control of AMT is difficult to meet the smooth start to reduce the friction work of clutch requirements and reduce the impact of fast, it also restricts the popularization and application of AMT. In addition, the parameters of the vehicle itself and driving conditions, such as friction clutch The coefficient of friction, friction plate weight, road conditions, road slope are subject to change, it also gives AMT starting control very difficult. In order to solve these problems AMT starting control, optimal control strategy is proposed in this paper with model error estimation, linear quadratic optimal control of two based on the control strategy and (Linear Quadratic Regulator, referred to as LQR) algorithm to the process of starting the engine speed, the clutch input and output speed difference, the impact of transmission system optimization, ensure the vehicle fast smooth start, at the same time, the algorithm design of the control model of model error estimator of vehicle parameters and conditions are estimated, the estimated value of feedback to control the vehicle model in changing the parameters and conditions of the case can still be successfully started. According to the research of the control strategy of the start, this paper made the following work 1, basic knowledge of AMT, the development of the study focuses on the control algorithm used in AMT started. Analysis of the structure of dry clutch, AMT working principle and starting control of the evaluation index, based on the commonly used AMT starting control strategy of.2, the working principle of the AMT the starting process, analysis and control algorithm, and determine the main contents of this paper: the AMT starting control strategy optimization model error estimation is considered, and the theoretical design of.3 control algorithm, using professional software AMESim and AMTLAB/ Simulink respectively to build a simulation model of vehicle starting control algorithm and AMT model by AMESim-Simulink joint simulation mode the correctness of the algorithm, but also to start with optimal control algorithm simulation model error estimation, and simulation results of this algorithm were compared by using D SPA.4. CE tools to build a real vehicle test environment, the algorithm for vehicle test, the test results show that this algorithm can not only meet the starting process of different starting intention, but also in the vehicle parameters and the working condition is changed smoothly starting and starting process to meet the fast ride comfort evaluation requirements, proves the practicality of the proposed algorithm.

【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：U463.212

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