Sliding mode control design for the attitude and altitude of the quadrotor UAV

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC International Journal on Smart Sensing and Intelligent Systems Pub Date : 2020-01-01 DOI:10.21307/ijssis-2020-011
A. Eltayeb, M. F. Rahmat, M. Basri
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引用次数: 2

Abstract

Abstract Recently, the quadrotor unmanned aerial vehicles (UAV) are attracting significant interest from researchers due to its widespread applications, which involve the civilian and military sectors. In this paper, a robust sliding mode control (SMC) algorithm is designed to stabilize the attitude and track the altitude of quadrotor UAV. The switching function in the SMC control law has been replaced by the error function to reduce the chattering influences. The chattering phenomenon is induced by the parameter uncertainties and external disturbances and results in critical issues, for instance, the vibration in the mechanical components. The simulation results of the traditional SMC and feedback linearization (FBL) are used as the benchmark to test and evaluate the performance of the proposed SMC, which proved that the proposed controller outperforms the traditional SMC and FBL controllers.
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四旋翼无人机姿态和高度的滑模控制设计
近年来,四旋翼无人机(UAV)由于其广泛的应用而引起了研究人员的极大兴趣,它涉及民用和军事领域。针对四旋翼无人机的姿态稳定和高度跟踪问题,设计了一种鲁棒滑模控制算法。用误差函数代替了SMC控制律中的开关函数,减小了抖振的影响。抖振现象是由参数的不确定性和外界干扰引起的,并导致机械部件的振动等关键问题。以传统SMC和反馈线性化(FBL)的仿真结果为基准,测试和评价了所提控制器的性能,证明了所提控制器优于传统SMC和FBL控制器。
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来源期刊
CiteScore
2.70
自引率
8.30%
发文量
15
审稿时长
8 weeks
期刊介绍: nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity
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