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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A Scalable Theory of Behavior Composition for Practical Engineering Models of Human Performance. Minimizing human error and maximizing human performance is a major design goal in safety critical systems. The development of methods for affordable human performance modeling has widespread applicability for evaluating user-system interfaces. The compositional method explored here has been shown to make accurate predictions reduce model development time by an order of magnitude. Large safety critica ....A Scalable Theory of Behavior Composition for Practical Engineering Models of Human Performance. Minimizing human error and maximizing human performance is a major design goal in safety critical systems. The development of methods for affordable human performance modeling has widespread applicability for evaluating user-system interfaces. The compositional method explored here has been shown to make accurate predictions reduce model development time by an order of magnitude. Large safety critical applications, such as military or air traffic control systems, would benefit greatly. The proposed work tests whether the compositional methods will scale to more complex domains. The work will be coordinated with Australian industry, academia, and government research efforts.Read moreRead less
Mach 10 Hydrogen fuelled scramjet development. Safe and economic access to space is a major technological challenge of the 21st century. Airbreathing engines, in particular, scramjets offer the potential to meet this challenge. The project aims to develop an understanding of the engineering and physical principals that determines the performance of a class of scramjet operating at hypervelocity speeds (>3km/s). Novel and innovative ideas will be explored which for the first time will provide ....Mach 10 Hydrogen fuelled scramjet development. Safe and economic access to space is a major technological challenge of the 21st century. Airbreathing engines, in particular, scramjets offer the potential to meet this challenge. The project aims to develop an understanding of the engineering and physical principals that determines the performance of a class of scramjet operating at hypervelocity speeds (>3km/s). Novel and innovative ideas will be explored which for the first time will provide the understandings necessary to make well founded predictions of the cost effectiveness of this approach, as well as provide the blue print to develop an engine which can operate at Mach 10.Read moreRead less
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
Stochastic Geometry for Multi-sensor Data Fusion System. The aim of this project is to develop efficient algorithms for tracking and sensor management in a multi-sensor multi-target environment. Finite random set theory provides a natural way of representing a random number of (random) object states, an issue that has been largely ignored in the tracking literature until recently. Although a satisfactory foundation for multiple object filtering has been provided by random set theory, in this ear ....Stochastic Geometry for Multi-sensor Data Fusion System. The aim of this project is to develop efficient algorithms for tracking and sensor management in a multi-sensor multi-target environment. Finite random set theory provides a natural way of representing a random number of (random) object states, an issue that has been largely ignored in the tracking literature until recently. Although a satisfactory foundation for multiple object filtering has been provided by random set theory, in this early stage no algorithm capable of tracking many targets has emerged from this framework. We are confident that efficient algorithms can be developed by exploiting the insights and mathematical tools of stochastic geometryRead moreRead less
Optimal Control of Multi-Object System. Better understanding of multi-object systems developed from this research, in particular, optimal control algorithms for multi-object systems have several significant socio-economic benefits. Application areas that benefits from our research include aerospace applications such as radar, sonar, guidance, navigation, and air traffic control and non-aerospace areas such as image processing, oceanography autonomous vehicles and robotics, remote sensing, and bi ....Optimal Control of Multi-Object System. Better understanding of multi-object systems developed from this research, in particular, optimal control algorithms for multi-object systems have several significant socio-economic benefits. Application areas that benefits from our research include aerospace applications such as radar, sonar, guidance, navigation, and air traffic control and non-aerospace areas such as image processing, oceanography autonomous vehicles and robotics, remote sensing, and biomedical research. The sensor network discipline also stand to benefit from the understanding of multi-object system and control framework. Read moreRead less