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双离合器自动变速系统匹配控制研究

Study on Control of Matching for Dual Clutch Transmission System

【作者】 李光辉

【导师】 胡建军;

【作者基本信息】 重庆大学 , 车辆工程, 2008, 硕士

【摘要】 针对国内变速器生产厂的现有条件,开展双离合器自动变速系统的关键技术研究,开发具有自主知识产权的双离合器自动变速器,对打破国外的技术垄断,掌握核心技术,促进我国汽车工业的发展与技术进步具有十分重要的现实意义。本文主要进行了以下研究工作:1)通过发动机性能试验,利用插值方法建立了发动机稳态数值模型和动态数值模型;对双离合器自动变速系统径向弹簧型双质量飞轮扭振减振器进行了设计和分析,分别建立了装有径向弹簧型双质量飞轮扭振减振器和离合器从动盘式扭振减振器无阻尼固有特性计算分析模型,并对比分析了两者对动力传动系统的减振效果;在所设计的膜片弹簧离合器的基础上,建立了该膜片弹簧离合器载荷-变形特性模型;最后建立了双离合器自动变速传动系统的动力学模型;2)建立了汽车离合器滑磨功和压盘表面温升的计算分析模型;推导出离合器片摩擦系数与影响因素之间的关系式,确立了双离合器自动变速汽车离合器转矩精确传递的计算分析模型;在分析步进电机和离合器执行机构动态响应特性的基础上,建立了离合器执行机构和离合器转矩传递动力学模型;并对汽车离合器起步时主、从动盘的接合过程及离合器转矩传递特性进行了仿真分析;3)在双离合器自动变速汽车起步时离合器接合速度影响因素分析的基础上,以提高汽车起步品质为原则,建立了节气门开度及其变化率为输入的两离合器接合程度和汽车起步挡位的模糊控制器,设计出离合器转速差及其变化率为输入的离合器接合速度模糊控制器;并以长安CV11轿车为例进行了仿真分析;4)提出了基于模糊神经网络的最佳挡位判断方法,研究了基于Takagi-Sugeno模型的神经网络结构及其算法,建立了基于Takagi-Sugeno模型的神经网络的汽车自动变速器换挡规律模型;利用汽车实际车速与目标车速之差及其变化率建立了发动机模糊-最速控制模型;并对基于该模糊神经网络的汽车自动变速器换挡规律进行了仿真分析;5)在分析双离合器自动变速汽车换挡品质影响因素的基础上,设计出两离合器分离、接合速度模糊控制器,并利用挡位传动比的变化对两离合器分离、接合速度模糊系统输出量进行量化修正;并通过Matlab/simulink对装有双离合器自动变速汽车换挡品质进行了仿真分析。

【Abstract】 To being existing terms and reality for domestic transmission factory, it is the eager problem to be solved of every vehicle manufacturer that studying the key technology of dual clutch transmission system, and developing dual clutch transmission with independent intellectual property right. It have very important realistic meanings of the vehicle industry for our country to break monopolize of foreign technology and mast the key technology, to promote the development and technological progress of dual clutch transmission.To the control technology of clutch torque for dual clutch transmission, research and develop the foundation of establishing with dual clutch transmission for the vehicle, this paper has mainly carried on the following research work:1)The experiment data of engine has been analyzed, and has been established the static and dynamic model by interpolation and matching. Dual mass flywheel-radial spring (DMF-RS) type torsional vibration damper for dual clutch transmission system has been designed and analysed, the natural torsional vibration characteristics calculate model without damping of the system with DMF-RS type torsional damper and the clutch type torsional vibration damper are established, under 9 degree of freedom (DOF) during vehicle idle driving and 12 DOF during vehicle driving, and reduced effect of the vibration for dynamic powertrain system has been compared. Base on the diaphragm spring has been designed, the characteristic model of distortion-load for diaphragm spring has been obtained, and the dynamic model of dual clutch transmission powertrain system has been established at last.2)Based on the analysis of influence factors for torque accurate transfer by clutch of dual clutch transmission vehicle, the computational analysis model for clutch slip power and surface temperature risen of clutch platen had been established. The function of clutch plate’s friction coefficient with relative slip speed between clutch driving and driven platen, and surface temperature risen of clutch platen has been derived, the model of accurate clutch torque transfer computational analysis for dual clutch transmission vehicle was built. Based on stepping motor and dynamic characteristic of clutch actuator have been analyzed, the model of clutch actuator and clutch transfer torque has been established. The simulation analysis of torque transfer characteristic during clutch driving and driven platen engaging was done under MatLab/Simulink environment.3)Based on the influence factor of the clutch engage speed of dual clutch transmission during vehicle launching, improving the vehicle launching quality as principle, throttle and throttle rate as the fuzzy controller input for two clutches engaging intensity and shifting during vehicle launching has been established, the rotational speed of clutch and the rate as the fuzzy controller input for the clutch engage speed has been designed. Taken Chang’an CV11 vehicle as an example and carried on simulation analysis.4)The estimation methods of best shift schedule based on fuzzy neural network had been advanced, structure and algorithm on the basis of the fuzzy neural network by Takagi-Sugeno mode was studied, the shift schedule model for automatic transmission vehicle based on fuzzy neural network with Takagi-Sugeno model has been established. Two parameters for fuzzy logic rules and membership functions of the shift schedule according to the skilled driver’s experience and expert’s knowledge had been made, membership functions and fuzzy logic rules was modified through train mechanism of artificial neural network based on experiment sample, the engine of fuzzy-BangBang control model had been established through utilized the real speed of vehicle minus goal speed and the ratio. Shift schedule based on fuzzy neural network for automatic transmission vehicle had been simulated.5)Dual clutch transmission realized motive force shifting, through one clutch separated while another clutch engaged. Based on analyzing influence factor of shifting quality for dual clutch transmission vehicle, two clutches separation and engaging fuzzy controller had been designed, and output of clutches separation and engaging speed of the fuzzy controller were quantized under utilized change with shift transmission ratio. The simulation analysis of dual clutch transmission vehicle during shifting process was done under MatLab/Simulink environment.

  • 【网络出版投稿人】 重庆大学
  • 【网络出版年期】2009年 06期
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