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Development of diagnostic algorithms for air brakes in trucks .

机译:卡车空气制动器诊断算法的开发。

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摘要

In this dissertation, we focus on development of algorithms for estimating the severity of air leakage and for predicting the out-of-adjustment of pushrod in an air brake system of heavy commercial vehicles. The leakage of air from the brake system causes a reduction in the steady-state pressure in the brake chamber and an increase in the lag of the braking pressure response thereby increasing the stopping distance of the vehicle. Currently a presence of leak in the system is detected for the severities of leak that cause the reservoir pressure to drop below a threshold, such as, the leakage of compressed air due to rupture of the reservoir or of the hoses carrying the compressed air. The leakage of air is also possible due to several other reasons such as, cracks in the hoses, loose couplings between the hoses etc. The severities of leak, corresponding to such situations, do not lead to the reservoir pressure drop below the threshold; therefore, their presence remains undetected. For the detection and estimation of such severities of leak, a diagnostic scheme has been given and is based on a model developed for the mass flow rate of the leakage of air from the air brake system.;Out-of-adjustment of the pushrod is the extension of pushrod beyond a predefined value and for safety concerns, an extension beyond this value is not desired. Currently no warning system is available for monitoring the out-of-adjustment of pushrod, except, during the safety inspection. Inspection of the pushrod for out-of-adjustment is the most labor-intensive and time consuming task during a typical safety inspection procedure. For efficient and continuous monitoring of the pushrod for out-of-adjustment, a diagnostic algorithm for estimating the steady-state pushrod stroke has been developed. The scheme is expected to expedite the inspection process for the out-of-adjustment of pushrod. Experimental data from the air brake test setup at Texas A&M University has been used for corroborating both the models.;Also, the problem of parameter estimation of sequential hybrid systems such as the air brake system, has been addressed. The "hybrid" nature of the air brake system stems from the system being in different modes corresponding to different values of the displacement of the pushrod and is a result of different spring compliances associated with the pushrod in different ranges of its displacement. The air brake system is "sequential" in the sense that as the pressure increases, the displacement of the pushrod increases and there is a distinct sequence of modes that the system will transition through and upon a reduction in pressure, the sequence of modes is revisited in the reverse order. The mode to mode transition of the air brake system is governed by the parameters, such as, the clearance between the brake pad and the brake drum. The problem of estimation, that has been addressed, is as follows: Suppose the pressure in the air brake system were to be measured and that the motion of the pushrod is not measured. Is it possible to estimate the final displacement of the pushrod without knowing the parameters, such as the clearance, that govern the system to transition from one mode to another?
机译:本文重点研究了重型商用车空气制动系统中空气泄漏严重程度估计算法和推杆失调预测算法。来自制动系统的空气泄漏导致制动室内的稳态压力降低,并且制动压力响应的滞后时间增大,从而增加了车辆的停车距离。当前,对于系统中是否存在泄漏的严重程度,该泄漏的严重程度会导致容器压力降至阈值以下,例如由于容器或承载压缩空气的软管破裂而导致的压缩空气泄漏。空气泄漏还可能由于其他一些原因而引起,例如软管破裂,软管之间的连接松动等。与这种情况相对应的泄漏严重程度不会导致油箱压力下降到阈值以下;因此,它们的存在仍然未被发现。为了检测和估计这种泄漏的严重程度,已经提出了一种诊断方案,该诊断方案基于针对空气制动系统泄漏的空气的质量流率开发的模型。推杆的延伸超过预定值,并且出于安全考虑,不希望超过该值的延伸。当前,除了安全检查期间,没有可用的警告系统来监视推杆的失调。在典型的安全检查过程中,检查推杆是否失调是最费力且最耗时的任务。为了有效且连续地监测推杆失调,已经开发了一种用于估计稳态推杆行程的诊断算法。该计划有望加快检查推杆失调的过程。来自德克萨斯农工大学空气制动测试装置的实验数据已用于证实这两个模型。此外,还解决了顺序混合动力系统(例如空气制动系统)的参数估计问题。空气制动系统的“混合”特性源于该系统处于与推杆位移的不同值相对应的不同模式,并且是推杆在其不同位移范围内具有不同的弹簧柔度的结果。空气制动系统是“顺序的”,即当压力增加时,推杆的位移增加,并且系统会通过压力降低而过渡的模式序列不同,因此会重新考虑模式序列以相反的顺序。空气制动系统的模式转换由参数决定,例如,制动衬块和制动鼓之间的间隙。已经解决的估计问题如下:假设要测量空气制动系统中的压力,而不测量推杆的运动。是否可以在不知道控制系统从一种模式转换到另一种模式的参数(例如间隙)的情况下估算推杆的最终位移?

著录项

  • 作者

    Dhar, Sandeep.;

  • 作者单位

    Texas A&M University.;

  • 授予单位 Texas A&M University.;
  • 学科 Engineering Automotive.;Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 110 p.
  • 总页数 110
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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