首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Fractional order adaptive robust formation control of multiple quad-rotor UAVs with parametric uncertainties and wind disturbances
Institution:1. Environmental Assessment and Technology for Hazardous Waste Management Research Center, Faculty of Environmental Management, Prince of Songkla University, Songkhla 90112, Thailand;2. Department of Electrical Engineering, College of Engineering Taif University, Al-Hawiyah, Taif P.O Box: 888, Kingdom of Saudi Arabia;3. School of Mechanical and Manufacturing Engineering, NUST, Islamabad 44000 Pakistan;4. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100083, China;5. Faculty of Environmental Management, Prince of Songkla University, Songkla, 90112, Thailand
Abstract:In recent times, multiple Unmanned Aerial Vehicles (UAVs) are being widely utilized in several areas of applications such as agriculture, surveillance, disaster management, search and rescue operations. Degree of robustness of applied control schemes determines how accurate a swarm of UAVs accomplish group tasks. Formation and trajectory tracking controllers are required for the swarm of multiple UAVs. Factors like external environmental effects, parametric uncertainties and wind gusts make the controller design process as a challenging task. This article proposes fractional order formation and trajectory tacking controllers for multiple quad-rotors using Super Twisting Sliding Mode Control (STSMC) technique. To compensate the effects of the disturbances due to parametric uncertainties and wind gusts, Lyapunov function based adaptive controllers are formulated. Moreover, Lyapunov theorem is used to guarantee the stability of the proposed controllers. Three types of controllers, namely fixed gain STSMC and fractional order Adaptive Super Twisting Sliding Mode Control (ASTSMC) methods are tested for the swarm of UAVs by performing the numerical simulations in MATLAB/Simulink environment. From the presented results, it is verified that in presence of wind disturbances and parametric uncertainties, the proposed fractional order ASTSMC technique showed improved robustness as compared to the fixed gain STSMC and integer order ASTSMC.
Keywords:Adaptive robust control  Fractional order control  Nonlinear control  Quad-rotor UAVs  Swarm formation control
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号