Special Issue "Navigation and Control of UAVs"
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 17329
Interests: nonlinear systems; aerospace control problems; power systems
In the last decade, Unmanned Aerial Vehicles (UAVs) have shown remarkable advances over several domains of civilian or military operations, particularly in terms of control stabilization on prescribed tracking trajectories, path-following, and waypoint passage precision; obstacle avoidance; and hovering situations. Indeed, due to the large spectrum of UAV applications that are constantly emerging, intelligent control applications are paving the future.
The resulting actual UAV performance stems from the efficiency of the navigation and control systems. However, in spite of this enormous progress made in theoretical investigations, the performance may become considerably worse in harsh flight conditions. As the energy on board is limited, it does not allow for alternative solutions that can result in dramatic situations. Furthermore, the evolution of relevant technologies for UAVs, including measurement and detection units, localization, and mapping modules requires a performance increase.
Therefore, the objective of this Special Issue is to underline the methodologies and techniques of navigation and control that are currently under development, in simulation tests or validated through experiments. In order to match the safety guarantees, developments are made to maintain the UAV within an acceptable level of performance in such a way that the mission for which the UAV is devoted cannot fail under harsh conditions. Consequently, the UAV should fully accomplish its mission by showing the capability to reject disturbances (constant or not), making appropriate decisions when flying in specific hostile environments, optimizing its energy on board, and being robust with regard to structured uncertainties, while taking into consideration physical constraints.
In addition, to improve systems and fulfill safety guarantees, the algorithms of control and guidance-navigation should have good estimates of the UAVs’ state and should be well implemented and well optimized through an easily reconfigurable architecture, profiting from the increase of computational capabilities.
Topics of interest include (but are not limited to) the following:
- The navigation and control of UAVs in harsh conditions
- UAVs control in uncertain environments
- High-accuracy navigation techniques
- Vision-based integrated navigation
- Localization, navigation, and dynamic path planning
- Quantum control in the framework of UAVs
- Robust IMC- and MPC-based control
- Intelligent control of UAVs
- Distributed and consensus control of multiple UAVs
- Cooperative control of multiple UAVs
- Autonomous collision avoidance control
- Path planning optimization and coverage
- Energy shaping control
- UAV motion planning
- Energy optimization
- Low-delay control techniques
Prof. Dr. Houria Siguerdidjane
Prof. Dr. David Hyunchul Shim
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