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One Approach to the Aircraft Brake Control System Numeric Identification Method

机译：飞机制动控制系统数值识别方法的一种方法

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摘要

Aircraft anti-skid brake control system is considered one of the most complex aircraft systems whose performance depends not only on subsystem parameters but rather on many other external conditions and physical parameters which are difficult to control and predict. Over the years aircraft brake control system performance and fault diagnostics have been simulated and analyzed from various aspects. Based on the task to enhance aircraft brake control system diagnostic methods, this article presents one approach to mathematical modeling and a numeric identification method of the hydro-mechanical brake control components. For any complex system behavioral or performance analysis approach, system modeling and simulation are the most common tools. Most often, the complete system model is unknown, and only simple segments of the unknown system or a small number of subsystem components may be known in a form of transfer function with static and dynamic characteristics. For that reason, mathematical modeling and system identification methods have evolved and become a part of greater control systems theory. In this article, using a time domain input and output parameters from flight test aircraft, hydro-mechanical elements of the brake control system have been modeled as linear, time-invariant dynamic subsystem with unknown constant parameters. For the model parameters identification, a numeric algorithm has been developed and implemented based on Luders-Narendra's adaptive observer. Finally, simulated and real system dynamic responses were compared and evaluated. With regards to dynamic performance, the results of the simulation demonstrate the model is stable and accurate in comparison with real system test data.
机译：飞机防滑刹车控制系统被认为是最复杂的飞机系统之一，其性能不仅取决于子系统参数，还取决于许多其他外部条件和难以控制和预测的物理参数。多年来，已经从各个方面对飞机制动控制系统的性能和故障诊断进行了仿真和分析。基于增强飞机制动控制系统诊断方法的任务，本文提出了一种液压机械制动控制组件的数学建模方法和一种数值识别方法。对于任何复杂的系统行为或性能分析方法，系统建模和仿真是最常用的工具。通常，完整的系统模型是未知的，只有已知系统的简单部分或少量子系统组件才能以具有静态和动态特性的传递函数的形式来知道。因此，数学建模和系统识别方法得到了发展，并成为更大的控制系统理论的一部分。在本文中，使用来自飞行测试飞机的时域输入和输出参数，将制动控制系统的液压机械元件建模为线性，时不变的动态子系统，其常数参数未知。对于模型参数的识别，已经基于Luders-Narendra的自适应观测器开发并实现了一种数值算法。最后，对模拟和实际系统的动态响应进行了比较和评估。关于动态性能，仿真结果表明该模型与实际系统测试数据相比是稳定且准确的。

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