用于四旋翼飞行器稳健轨迹跟踪和悬停的改进型超级扭转控制

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS ISA transactions Pub Date : 2024-07-23 DOI:10.1016/j.isatra.2024.07.024
Kumar Abhinav, Shashi Ranjan Kumar
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引用次数: 0

摘要

本文提出了一种新型控制器设计,使用基于适应性的改进型超扭曲控制,以促进四旋翼飞行器的轨迹跟踪和悬停操纵。现有改进型超扭曲控制的控制器增益需要对四旋翼飞行器的轨迹跟踪和悬停扰动进行约束。在本文中,控制器增益是在不知道实际扰动或其上限的情况下,利用所提出的动态适应法则进行调整的。控制器是在非线性框架内设计的,无需对四旋翼飞行器动力学进行线性化处理,这使得所提出的控制器即使在状态严重偏离标称值时也能保持有效。数值模拟证明了四旋翼飞行器在扰动情况下的轨迹跟踪和悬停性能。为了评估控制器的有效性,将基于适应性的改进型超扭曲控制器的性能与现有的改进型超扭曲控制器进行了比较,结果发现所提出的控制器优于现有的控制器。
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Modified super twisting control for robust trajectory tracking and hovering of quadrotor

This paper proposes a novel controller design using adaptation based modified super twisting control to facilitate trajectory tracking and hovering maneuvers for the quadrotor. The controller gains of the existing modified super twisting control require bounds on the disturbance for trajectory tracking and hovering of the quadrotor. In this paper, the controller gains are adapted using the proposed dynamic adaptation law without knowing the actual disturbance or their upper bounds. The controller is designed within a nonlinear framework without performing linearization of quadrotor dynamics, which enables the proposed controller to remain effective even when the states deviate significantly from their nominal values. The performance of trajectory tracking and hovering of the quadrotor in the presence of disturbance is demonstrated using numerical simulations. In order to assess the effectiveness of the controller, the performance of the adaptation based modified super twisting control is compared to the existing modified super twisting control, and the proposed controller outperforms the existing one.

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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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