【作者】 程广伟；

【导师】 周志立；

【作者基本信息】 武汉理工大学 ， 车辆工程， 2008， 博士

【摘要】 本文研究的内容是河南省高校杰出科研人才创新基金项目“液压机械式无级变速器研究开发”及河南科技大学重点学科建设项目“车辆新型动力传动系统试验台”的主要研究内容,其目的是为设计开发车辆传动系统提供一种通用性强、操作简单、成本低、精度及自动化程度高、检测速度快的检测系统,在论文中对液压机械无级变速传动(hydro-mechanical continuous variable trans_mission,简称HMCVT)性能测试系统进行了较为深入的理论研究与实践。系统地阐述了车辆传动系测试及相关技术的研究现状,分析了履带车辆新型传动—液压机械无级变速的传动原理、性能及其性能测试的特点,提出了液压机械无级变速传动的性能评价方法。根据相关国家标准及行业标准,结合HMCVT性能的评价方法,分析了进行HMCVT性能测试的测量与控制参数,设计了履带车辆液压机械无级变速传动试验系统。发动机为试验系统提供动力,是HMCVT性能测试的重要组成部分,发动机控制的自动化程度对试验过程的高精度自动化控制有着重要的作用。运用神经网络理论,建立了发动机输出转速、转矩与油门开度的数学模型,为发动机自动控制奠定了基础。分析了无级变速传动试验系统发动机的工作模式,研究了发动机油门控制原理,提出了基于BP神经网络整定的PID发动机油门开度控制的策略,编制了系统控制软件,进行了油门开度控制。分析了履带车辆的行驶阻力与工作阻力的特征,结合履带车辆传动系的特点,建立了试验系统的连续加载模型。为了提高电涡流测功器的响应速度,研究了基于电涡流测功器动态特性的电涡流测功器的预测控制方法,建立了基于遗传算法的电涡流测功器控制模型,实现了车辆行驶阻力在试验系统上的模拟。在提高试验系统传感器测试精度的研究中,分析了温度传感器的非线性特性,建立了基于支持向量机的温度传感器非线性补偿模型。提出了运用数据融合技术提高HMCVT液压油温度测量精度的方法,建立了数据自适应加权融合算法模型。分析了HMCVT液压油油压测量的干扰因素,制定了基于拟合方程显著性检验技术的融合规则,进行了HMCVT液压系统油压测试数据配准,并通过油压测试检验了所制定的融合规则的有效性。针对HMCVT测试中转速变化范围较宽的特点,提出了转速的准等精度测量方法。分析了试验系统信号采集与数据处理系统的硬件构成原理,研究了试验系统的软件技术,基于虚拟仪器技术编制了试验系统软件。为提高系统的测试精度,设计了转矩传感器标定装置,对转矩传感器进行了标定和误差修正。分析并提出了试验系统内部阻力的测量与补偿方法,对试验系统的测量精度进行了研究。分析了测试系统的误差分配与合成方法,建立了测试系统的数据测试精度模型。运用所设计的试验系统进行了HMCVT无级调速特性试验,试验表明所设计的试验系统能够满足HMCVT性能测试的需要,具有较高的稳定性与精度。更多还原

【Abstract】 This dissertation focuses on the testing system with stronger universality, simpler operation, higher precision and automation, faster detection speed for the tracked vehicle hydro-mechanical continuous variable transmission (HMCVT). Its research background is based on the Development of hydro-mechanical continuously variable transmission of tractor which belongs to an Innovation Fund Project for University Prominent Research Talents in Henan province and the Vehicle new type driveline test-bed which is a key specialty project of Henan University of Science & Technology.In the dissertation, the current researching status of the vehicle driveline measuring and testing technology is systematically depicted. The principle, performance and the measuring and testing characteristics of the new type tracked vehicle transmission called HMCVT are analyzed. The evaluation method on the HMCVT’s performance is put forward. At the same time, according to the concerned national and industrial engineering standard and the evaluation method on the HMCVT’s performance, the measuring and controlling parameters of the HMCVT’s performance testing are analyzed; the testing system for the tracked vehicle’s HMCVT is designed.The engine, which provides the power for the testing system, is the main part of the performance test. The automatic control of the engine has important effect on the automation controlling with higher precision during the test process. With the theory of the neural network, the mathematical models on the relation of the engine output torque, rev, and the throttle opening are established, which settled the foundation for the engine automatic control. Based on the analysis on the working methods and the throttle controlling principle of the engine, the control strategy of the PID engine throttle opening adjusted by the BP neural networks is put forward, furthermore, the system controlling software is compiled.According to the characteristics of the tracked vehicle’s running and working resistance, and its driveline, the continuous loading model for the testing system is established. In order to improve the response speed of the eddy current dynamometer, the predictive control technique based on the dynamic characteristic of the eddy current dynamometer is researched, and its control model based on the genetic algorithm is established, the simulation of the vehicle’s running resistance in the testing system is realized.During the research on how to improve the measuring precision of the sensor, the temperature sensor’s nonlinear characteristic is analyzed, and the temperature sensor’s nonlinear compensation model based on SVM is established. The idea of using data fusion technique to advance the HMCVT temperature testing precision is put forward and the self-adaptive weighted data fusion algorithm model is set up. After that, the distribute factors during the course of hydraulic pressure measurement is analyzed, and the fusion rules based on the fitting equation for the notability test technology is established. The test data registration in the HMCVT hydraulic pressure measurement is carried out, and the validity of the fusion rules and the matrix is tested through the pressure test. Finally, the quasi-accuracy measurement to the rotate speed is carried out in allusion to the large variety of the rotate speed.The principle of the hardware structure of the signal collection and the data processing system is analyzed, the software technology in the test system is investigated, and the test software is compiled based on virtual instrument technology. In order to improve the test precision, the torque sensor demarcate equipment is designed, the demarcation and the error correction to the torque sensor is carried out. In the testing system, the measurement and compensation of the internal resistance is given out and the measurement precision is also researched. The error distribution and the compounding method of the testing system are analyzed, and the data testing precision model of the testing system is established.The tests on the stepless speed regulating characteristics of the HMCVT in the above-mentioned testing system indicate that the system can meet the characteristics test needs and is with higher stability and precision.更多还原