悬架耐久性试验台迭代控制的扰动补偿

Tino Muller, Ulrich Vogele, C. Endisch
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引用次数: 3

摘要

底盘、部件和车轴的耐久性测试是一个安全问题,因此是车辆开发过程的重要组成部分。在汽车工业中,车辆轴的耐久性试验是在实验室中使用多通道耐久性试验台进行的。准确地复制现场实测数据对获得令人信服的耐久性结果至关重要。通道相互作用产生的交叉耦合效应降低了这些钻机的控制精度。因此,采用迭代控制方法自适应所有控制输入以补偿耦合引起的干扰。最先进的过程需要大量的试验台测量来产生最优的控制输入,从而初步损坏样品。本文提出了一种新的扰动补偿方法。下面将该方法与不加干扰补偿的控制输入自适应和有最先进的干扰补偿的控制输入自适应进行比较。将这三种方法应用于悬架钻机的迭代控制,并从收敛速度、控制精度和计算量等方面进行了分析。研究表明,补偿方法通常会增加计算量。现有的补偿方法在考虑转向机动时存在不稳定问题,而采用本文提出的补偿技术可以实现快速收敛的精确控制。与没有补偿的方法相比,显著提高的收敛速度证明了额外的计算工作量是合理的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disturbance compensation for iterative control of suspension durability test rigs
Endurance testing of the chassis, components and vehicle axles is a safety issue and therefore an essential part of the vehicle development process. In the automotive industry, durability experiments of vehicle axles are carried out in laboratories using multi-channel durability test rigs. The accurate load data replication of field measured data is important to obtain convincing durability results. Cross-coupling effects by channel interactions degrade the control accuracy of these rigs. Therefore, an iterative control method is applied to adapt all control inputs to compensate coupling induced disturbances. State-of-the-art processes require a high amount of test rig measurements to generate optimal control inputs which damage specimens preliminarily. In this article, a new method for disturbance compensation is presented. In the following, this method is compared to control input adaption without disturbance compensation and control input adaption with state-of-the-art disturbance compensation. All three methods are applied to an iterative control of a suspension rig and analyzed in terms of convergence speed, control accuracy and computational effort. The investigations revealed, that compensation methods generally increase the computational effort. The state-of-the-art compensation method became unstable for the considered steering maneuver while accurate control with fast convergence was achieved when applying the new compensation technique presented in this article. The significant increase of convergence speed justifies the additional computational effort compared to methods without compensation.
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