Victor G. Sánchez-Meza, Yair Lozano-Hernández, Octavio Gutiérrez-Frías, N. Lozada-Castillo, A. Luviano‐Juárez
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引用次数: 0
Abstract
Abstract This article deals with modelling and a flatness-based robust trajectory tracking scheme for a two degrees of freedom helicopter, which is subject to four types of tail rotor disturbances to validate the control scheme robustness. A mathematical model of the system, its differential flatness and a differential parametrization are obtained. The flat filtering control is designed for the system control with a partially known model, assuming the non-modelled dynamics and the external disturbances (specially the tail rotor ones) to be rejected by means of an extended state model (ultra-local model). Numerical and experimental assessments are carried out on a characterized prototype whose yaw angle (ψ), given by the z axis, is in free form, while the pitch angle (θ), which results from rotation about the y axis, is mechanically restricted. The proposed controller performance is tested through a set of experiments in trajectory tracking tasks with different disturbances in the tail rotor, showing robust behaviour for the different disturbances. Besides, a comparison study against a widely used controller of LQR type is carried out, in which the proposed controller achieves better results, as illustrated by a performance index.
摘要 本文论述了双自由度直升机的建模和基于平坦度的鲁棒轨迹跟踪方案,该方案受到四种尾桨干扰,以验证控制方案的鲁棒性。文章获得了系统的数学模型、微分平坦度和微分参数。平滤波控制是为具有部分已知模型的系统控制而设计的,假定通过扩展状态模型(超局部模型)拒绝非模型动态和外部干扰(特别是尾旋翼干扰)。数值和实验评估是在一个有特征的原型机上进行的,该原型机的偏航角(ψ)由 Z 轴给出,是自由形式的,而俯仰角(θ)则由围绕 Y 轴的旋转产生,受到机械限制。在尾旋翼受到不同干扰的轨迹跟踪任务中,通过一系列实验测试了所提出的控制器性能,结果表明该控制器在不同干扰下均表现稳健。此外,还与广泛使用的 LQR 型控制器进行了对比研究,结果显示,所提出的控制器能取得更好的性能指标。
期刊介绍:
The International Journal of Applied Mathematics and Computer Science is a quarterly published in Poland since 1991 by the University of Zielona Góra in partnership with De Gruyter Poland (Sciendo) and Lubuskie Scientific Society, under the auspices of the Committee on Automatic Control and Robotics of the Polish Academy of Sciences.
The journal strives to meet the demand for the presentation of interdisciplinary research in various fields related to control theory, applied mathematics, scientific computing and computer science. In particular, it publishes high quality original research results in the following areas:
-modern control theory and practice-
artificial intelligence methods and their applications-
applied mathematics and mathematical optimisation techniques-
mathematical methods in engineering, computer science, and biology.