High-Bandwidth Control and Advanced Dynamic Modelling for Unmanned Helicopters. Advanced control theory will be applied to enable precise control of unmanned helicopters in the presence of disturbances. This is critical for: operating unmanned helicopters among the buildings of urban environments, reconnaissance, investigating dangerous areas, pursuit of targets, and many other desirable capabilities for law enforcement and military purposes. The ability of a small RUAV to launch and recover to ....High-Bandwidth Control and Advanced Dynamic Modelling for Unmanned Helicopters. Advanced control theory will be applied to enable precise control of unmanned helicopters in the presence of disturbances. This is critical for: operating unmanned helicopters among the buildings of urban environments, reconnaissance, investigating dangerous areas, pursuit of targets, and many other desirable capabilities for law enforcement and military purposes. The ability of a small RUAV to launch and recover to a moving vessel would significantly enhance operational possibilities for border protection tasks and the Australian Defence Force. The research has direct application to other mechanical systems such as underwater vehicles, mobile robots, and precision control of agricultural vehicles, overhead cranes, and mining equipment.Read moreRead less
Remote Delivery and Capture of Payloads using Aerial Deployed Tethers. The capability to rapidly transport payloads to and from remote locations is critical for search and rescue, disaster relief, remote communities, and military operations. Conventional technology is not well suited to this role, hence we propose to develop an intelligent system to manoeuvre a tether, towed from an aircraft, to pick-up or set-down a payload, with zero surface velocity. Because of the complex, nonlinear dynamics ....Remote Delivery and Capture of Payloads using Aerial Deployed Tethers. The capability to rapidly transport payloads to and from remote locations is critical for search and rescue, disaster relief, remote communities, and military operations. Conventional technology is not well suited to this role, hence we propose to develop an intelligent system to manoeuvre a tether, towed from an aircraft, to pick-up or set-down a payload, with zero surface velocity. Because of the complex, nonlinear dynamics of a cable-body system, advanced modelling and nonlinear optimal control will be applied in this task. The resulting world-first system will provide important economic opportunities and demonstrate Australian scientific capacity for novel developing intelligent systems.Read moreRead less
Automated helicopter hover and recovery system for operations at sea. The small size and simplicity of the integrated system outlined in this project will significantly improve the effectiveness of maritime surveillance for homeland security whilst enabling substantially lower operational costs. The proposal aims to develop control and sensing techniques, enabling small rotary wing unmanned air-vehicles (UAVs) weighing less than 100 kgs to operate from small-size vessels. This will be achieved ....Automated helicopter hover and recovery system for operations at sea. The small size and simplicity of the integrated system outlined in this project will significantly improve the effectiveness of maritime surveillance for homeland security whilst enabling substantially lower operational costs. The proposal aims to develop control and sensing techniques, enabling small rotary wing unmanned air-vehicles (UAVs) weighing less than 100 kgs to operate from small-size vessels. This will be achieved by resolving the current lack of integration between ship motion and the unmanned vehicle guidance systems. The proposed research will make substantial contributions in areas of ship motion prediction and sensing and hover control of tethered and non-tethered small helicopters.
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Discovery Early Career Researcher Award - Grant ID: DE210101864
Funder
Australian Research Council
Funding Amount
$442,500.00
Summary
Unlocking Urban Airspace for Drone Transport. This project aims to accurately quantify the mid-air collision risk associated with low-altitude unmanned operations in urban airspace through the creation of new data-driven collision risk modelling techniques. Without such techniques, drone operations remain suppressed so their true potential cannot be realised. The collision risk models address this by providing the key missing knowledge that can underpin/enable vital unmanned traffic management ....Unlocking Urban Airspace for Drone Transport. This project aims to accurately quantify the mid-air collision risk associated with low-altitude unmanned operations in urban airspace through the creation of new data-driven collision risk modelling techniques. Without such techniques, drone operations remain suppressed so their true potential cannot be realised. The collision risk models address this by providing the key missing knowledge that can underpin/enable vital unmanned traffic management applications, including airspace design and the development of separation standards. This can ultimately enable greater access to urban airspace without compromising air safety such that we unlock the commercial and societal benefits of drone use and help modernise urban air transportation.
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Discovery Early Career Researcher Award - Grant ID: DE120100802
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Developing novel concepts for improved safety in aircraft emergency situations. The outcomes of this project will enable the creation of an emergency system that can improve visual situation awareness in emergency landing scenarios by investigating novel detection, control and planning algorithms. The project will contribute significantly to Australia's share in technologies for aircraft automation.
Navigating under the forest canopy and in the urban jungle. This project aims to develop a framework for unmanned aerial vehicles (UAV), which optimally balances localisation, mapping and other objectives in order to solve sequential decision tasks under map and pose uncertainty. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining simultaneous localisation and mapping algorithms with partially observable markov decision processes. The proje ....Navigating under the forest canopy and in the urban jungle. This project aims to develop a framework for unmanned aerial vehicles (UAV), which optimally balances localisation, mapping and other objectives in order to solve sequential decision tasks under map and pose uncertainty. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining simultaneous localisation and mapping algorithms with partially observable markov decision processes. The project’s expected outcomes will enable UAVs to solve multiple objectives under map and pose uncertainty in GPS-denied environments. This will provide significant benefits, such as more responsive disaster management, bushfire monitoring and biosecurity, and improved environmental monitoring.Read moreRead less
When every second counts: Multi-drone navigation in GPS-denied environments. The aim of this research is to develop a framework for multiple Unmanned Aerial Vehicles (UAV), that balances information sharing, exploration, localization, mapping, and other planning objectives thus allowing a team of UAVs to navigate in complex environments in time critical situations. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining Simultaneous Localizatio ....When every second counts: Multi-drone navigation in GPS-denied environments. The aim of this research is to develop a framework for multiple Unmanned Aerial Vehicles (UAV), that balances information sharing, exploration, localization, mapping, and other planning objectives thus allowing a team of UAVs to navigate in complex environments in time critical situations. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining Simultaneous Localization and Mapping (SLAM) algorithms with Partially Observable Markov Decision Processes (POMDP) and Deep Reinforcement learning. This should provide significant benefits, such as more responsive search and rescue inside collapsed buildings or underground mines, as well as fast target detection and mapping under the tree canopy. Read moreRead less
Electron Transpiration Cooling of Hypersonic Vehicles. Future aircraft for flight at hypersonic speeds require sharp leading edges for the best aerodynamic performance. Sharp leading edges incur high heat loads and cannot be adequately cooled with current technologies. The project aim is to investigate novel surface materials that emit electrons when heated. This emission of electrons from the surface can significantly contribute to the cooling of the sharp leading edges. This project is expecte ....Electron Transpiration Cooling of Hypersonic Vehicles. Future aircraft for flight at hypersonic speeds require sharp leading edges for the best aerodynamic performance. Sharp leading edges incur high heat loads and cannot be adequately cooled with current technologies. The project aim is to investigate novel surface materials that emit electrons when heated. This emission of electrons from the surface can significantly contribute to the cooling of the sharp leading edges. This project is expected to deliver new experimental data on novel surface materials exposed to a hypersonic flow environment and computer models that can simulate their cooling effect. This investigation will contribute towards enabling technologies for sustained hypersonic flight by overcoming critical head load limitations.Read moreRead less