A comparitive study on the control of UAVs for Trajectory tracking by MPC, SMC, Backstepping, and Fuzzy Logic controllers

Mohamed Nasr, Mostafa Ashraf, Mahmoud S. Hussein, A. M. Salem, Catherine M. Elias, Omar M. Shehata, E. I. Morgan
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引用次数: 8

Abstract

Autonomous navigation and localization of Aerial Vehicles in indoor environments is a major problem due to the difficulty of reliable control. Sliding Mode Control, Model Predictive Control, Back-stepping Control and Fuzzy Logic Control are proposed to stabilize and trajectory tracking for Unmanned Aerial Vehicles. Two trajectories were validated on the four controllers to determine the most efficient controller to maintain the optimal results.
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MPC、SMC、Backstepping和模糊逻辑控制器对无人机轨迹跟踪控制的比较研究
飞行器在室内环境下的自主导航和定位由于难以实现可靠的控制而成为一个主要问题。提出了滑模控制、模型预测控制、反演控制和模糊逻辑控制等方法来实现无人机的稳定和轨迹跟踪。在四个控制器上验证了两个轨迹,以确定最有效的控制器以保持最佳结果。
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