Robust Control Using a H Mixed Sensitivity Approach for an UAV with a Suspended Payload

IF 1.3 4区 工程技术 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Jefferson Abraham Enriquez Quispe;Tito Yvan Galarza Delgado;Juan Carlos Cutipa Luque
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引用次数: 0

Abstract

Unmanned aerial vehicles (UAVs) are increasingly being utilized in a wide range of applications, including military operations, agronomy, and delivery services, among others. These applications often require load transportation missions which are executed by the UAV, that can be executed by the UAV, a link, and its payload. The UAV with its suspended load is a kind of highly coupled system where good performance and stability are required despite disturbances and model uncertainties. In this work, we present an H robust control design for this system. The desired controller is synthesized to achieve suboptimal robustness in terms of performance and stability. Simulation results demonstrate robustness against disturbances and model uncertainties. In terms of performance, this control system shows up to a 50% reduction in load oscillations compared to alternative controllers, such as the Linear Quadratic Regulator (LQR).
基于H混合灵敏度方法的悬载无人机鲁棒控制
无人驾驶飞行器(uav)正越来越多地用于广泛的应用,包括军事行动、农艺学和交付服务等。这些应用通常需要由无人机执行的载荷运输任务,这些任务可以由无人机、链路和其有效载荷执行。带有悬载的无人机是一种高耦合系统,尽管存在干扰和模型不确定性,但需要良好的性能和稳定性。本文提出了该系统的H鲁棒控制设计。在性能和稳定性方面,合成所需的控制器以达到次优鲁棒性。仿真结果证明了该方法对干扰和模型不确定性的鲁棒性。在性能方面,与替代控制器(如线性二次型调节器(LQR))相比,该控制系统显示出高达50%的负载振荡减少。
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来源期刊
IEEE Latin America Transactions
IEEE Latin America Transactions COMPUTER SCIENCE, INFORMATION SYSTEMS-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
3.50
自引率
7.70%
发文量
192
审稿时长
3-8 weeks
期刊介绍: IEEE Latin America Transactions (IEEE LATAM) is an interdisciplinary journal focused on the dissemination of original and quality research papers / review articles in Spanish and Portuguese of emerging topics in three main areas: Computing, Electric Energy and Electronics. Some of the sub-areas of the journal are, but not limited to: Automatic control, communications, instrumentation, artificial intelligence, power and industrial electronics, fault diagnosis and detection, transportation electrification, internet of things, electrical machines, circuits and systems, biomedicine and biomedical / haptic applications, secure communications, robotics, sensors and actuators, computer networks, smart grids, among others.
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