基于观测器的飞机防滑制动器自适应鲁棒控制与干扰补偿

IF 5.4 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Zhuangzhuang Wang , Ning Bai , Xiaochao Liu , Pengyuan Qi
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引用次数: 0

摘要

飞机的高效防滑制动控制是通过精确跟踪最佳滑移比来实现的。然而,飞机防滑制动系统受到许多参数不确定性和不确定扰动的影响,而且传感器信号有限,增加了设计高性能防滑制动系统控制器的难度。针对这一问题,本文提出了一种基于观测器的自适应鲁棒飞机防滑制动系统控制器,该控制器具有扰动补偿功能,可提高飞机防滑制动系统的跟踪性能和扰动抑制能力。所提出的控制器有效地整合了参数识别、自适应控制和使用反步进方法的扩展状态观测器。参数不确定性和快速时变制动扭矩转换系数分别通过自适应法则和最小二乘法参数识别方法来处理。然后,通过构建扩展状态观测器综合观测其余参数不确定性、参数识别误差和不确定干扰,并以前馈方式进行补偿。所设计控制器的另一个特点是考虑了液压系统的动力学特性,同时还利用扩展状态观测器观测和补偿液压系统的干扰,从而进一步提高了跟踪精度。由于自适应规律和参数识别大大减轻了扩展状态观测器的负担,因此所提出的控制器可以有效避免高增益反馈,同时从理论上保证在存在时变不确定性的情况下跟踪误差是有界的。多组仿真测试和制动测试平台实验证明了所提控制器的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Observer-based adaptive robust control of aircraft antiskid brakes with disturbance compensation

The efficient antiskid braking control of aircraft is achieved by accurately tracking the optimal slip ratio. However, aircraft antiskid braking systems are subject to many parametric uncertainties and uncertain disturbances, and the limited sensor signals make it more difficult to design a high-performance antiskid braking system controller. To address this issue, an observer-based adaptive robust aircraft antiskid braking system controller with disturbance compensation is proposed to enhance the tracking performance and disturbance rejection of aircraft antiskid braking system. The proposed controller effectively integrates parameter identification, adaptive control, and extended state observer using the backstepping method. Parametric uncertainties and fast time-varying brake torque conversion coefficient are handled by adaptive law and least squares parameter identification method, respectively. After that, the remaining parametric uncertainties, parameter identification errors, and uncertain disturbances are observed integrally by constructing extended state observer and compensated in a feedforward way. Another feature of the designed controller is that the dynamics of the hydraulic system are considered, and the disturbances of the hydraulic system are also observed and compensated with extended state observer, thus further improving tracking accuracy. Since the burden of extended state observer is greatly reduced by adaptive law and parameter identification, the proposed controller can effectively avoid high-gain feedback while theoretically guaranteeing that the tracking error is bounded in the presence of time-variant uncertainties. The effectiveness of the proposed controller is proved by several sets of simulation tests and brake testing platform experiments.

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来源期刊
Control Engineering Practice
Control Engineering Practice 工程技术-工程:电子与电气
CiteScore
9.20
自引率
12.20%
发文量
183
审稿时长
44 days
期刊介绍: Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper. The scope of Control Engineering Practice matches the activities of IFAC. Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.
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