Deep reinforcement learning attitude control of fixed-wing uavs using proximal policy optimization
Contemporary autopilot systems for unmanned aerial vehicles (UAVs) are far more limited in
their flight envelope as compared to experienced human pilots, thereby restricting the …
their flight envelope as compared to experienced human pilots, thereby restricting the …
UAV traffic patrolling via road detection and tracking in anonymous aerial video frames
M Karaduman, A Cınar, H Eren - Journal of Intelligent & Robotic Systems, 2019 - Springer
Abstract Unmanned Aerial Vehicles (UAV) have gained great importance for patrolling,
exploration, and surveillance. In this study, we have estimated a route UAV to follow, using …
exploration, and surveillance. In this study, we have estimated a route UAV to follow, using …
A survey of controller designs for new generation UAVs: The challenge of uncertain aerodynamic parameters
This paper presents a survey of controller design techniques aimed at autonomous
navigation and control of Unmanned Aerial Vehicles (UAVs), focusing on the challenge of …
navigation and control of Unmanned Aerial Vehicles (UAVs), focusing on the challenge of …
钝后缘风力机翼型的环量控制研究
乔晨亮， 许和勇， 叶正寅 - 力学学报, 2019 - lxxb.cstam.org.cn
钝后缘风力机翼型具有结构强度高, 对表面污染不敏感等优点, 但其较大的阻力系数使得翼型的
整体气动特性不够理想. 利用环量控制方法对钝后缘风力机翼型进行了流动控制 …
整体气动特性不够理想. 利用环量控制方法对钝后缘风力机翼型进行了流动控制 …
A software in the loop (SIL) Kalman and complementary filter implementation on x-plane for UAVs
The paper presents a software in the loop (SIL) sensor study in simulation environments for
traditional Kalman, linear and nonlinear complementary filters, which are derived, tested and …
traditional Kalman, linear and nonlinear complementary filters, which are derived, tested and …
Nonlinear Control of Fixed-Wing UAVs with Time-Varying Aerodynamic Uncertainties Via -Synthesis
This paper presents a novel application of μ. synthesis design for nonlinear control of fixed-
wing UAVs with unstructured, time-varying uncertainties during flight. The nominal/uncertain …
wing UAVs with unstructured, time-varying uncertainties during flight. The nominal/uncertain …
Reinforcement learning for optimization of nonlinear and predictive control
E Bøhn - 2022 - ntnuopen.ntnu.no
Autonomous systems extend upon human capabilities and can be equipped with
superhuman attributes in terms of durability, strength, and perception to name a few, and …
superhuman attributes in terms of durability, strength, and perception to name a few, and …
Circulation control on wind turbine airfoil with blunt trailing edge
Q Chenliang, X Heyong, Y Zhengyin - Chinese Journal of …, 2019 - lxxb.cstam.org.cn
The blunt trailing edge wind turbine airfoil has the advantages of high structural strength and
insensitive to surface contamination, but its larger drag coefficient makes the aerodynamic …
insensitive to surface contamination, but its larger drag coefficient makes the aerodynamic …
Tracking Control of Multi-Input Multi-Output Multirotor Unmanned Aerial Vehicles with Auxiliary Systems
SE Lyshevski, TC Smith - 2023 American Control Conference …, 2023 - ieeexplore.ieee.org
We research control schemes for unmanned aerial vehicles (UAVs) with propulsion, steering
and power modules. Physical limits, aerodynamic instabilities, blade flapping, cross-axis …
and power modules. Physical limits, aerodynamic instabilities, blade flapping, cross-axis …
Stabilizer Autopilot Design For Fixed Wing UAV Using ODSMC
In this paper we build an ODSMC (Output Feedback Discrete Time Sliding Mode Control)
controller for a fixed-winged aircraft. ODSMC control is employed, which is widely utilized in …
controller for a fixed-winged aircraft. ODSMC control is employed, which is widely utilized in …