The last six years has seen Moore's Law continue to produce incredible gains in computational power. Indeed, the November, 2007 list of the top ten fastest supercomputers in the world contained no machines with ac...
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The concept, functional aspects, and experiments based on lab prototypes of an innovative approach for aircraft fuel management have been developed in recent years. The main approach innovation is the replacement of t...
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ISBN:
(纸本)9781467331074
The concept, functional aspects, and experiments based on lab prototypes of an innovative approach for aircraft fuel management have been developed in recent years. The main approach innovation is the replacement of the conventional central fuel computer with distributed and interconnected Smart Fuel Components (SFCs). This solution lowers the wiring weight, reduce the chance of a faulty connection, and simplify maintenance. This paper presents the experimental results obtained from ground and flight tests carried out on the implementation the above approach in a twin-engine helicopter. The SFC software is deployed in the helicopter in ground to be tested. Once the results obtained from the ground test are accepted, the same SFC software is tested in flight. The ground-tested and flight-tested functions for the fuel control system are: fuel supply, display of fuel levels, fuel transfer, refueling/defueling, measurement of height, density and flow of fuel, and monitoring/surveillance. The objectives of the ground and flight tests are to prove secure engine fuel supply for engine "two" during flight, reliable fuel gauging during flight, and the above selected functions as basis for system operability. This paper also describes the testing cases and criteria, and the main project achievements for ground and flight tests in a twin-engine helicopter.
• Automated design and synthesis processes to develop a HDFCShave been presented. • Tests carried out on simulations demonstrate that the results (main focus on the software code automatically generated, i.e. state-ma...
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ISBN:
(纸本)9781479915378
• Automated design and synthesis processes to develop a HDFCShave been presented. • Tests carried out on simulations demonstrate that the results (main focus on the software code automatically generated, i.e. state-machine) obtained from the above processes are according to what has been specified. • The state-machine generated works as expected in the simulator. However, there are some cases (near the limits of the tank capacities) in which the state-machine (software implementation, i.e. code generated automatically) makes some states of valves oscillate.
Thorough summarizing the earthquake damage of the towns and villages housing, and the reason why the traditional ring beam and constructional column are difficult to implement in town buildings, the seismic techniques...
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The aim of this article is to analyse the results obtained when using a genetic algorithm (GA) to optimise the interplanetary trajectory of a spacecraft. The desired trajectory should visit Saturn, after performing a ...
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The aim of this article is to analyse the results obtained when using a genetic algorithm (GA) to optimise the interplanetary trajectory of a spacecraft. The desired trajectory should visit Saturn, after performing a ...
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The aim of this article is to analyse the results obtained when using a genetic algorithm (GA) to optimise the interplanetary trajectory of a spacecraft. The desired trajectory should visit Saturn, after performing a gravitational assistance or fly-by in planet Mars. The GA tunes a set of variables, in order to achieve the mission purpose while satisfying the constraints and minimizing the delta-V of the mission. Due to the complexity of the implemented models and the lack of analytical solutions, an alternative non-traditional algorithm provided by soft-computing techniques such as GA is necessary to achieve an optimum solution. The positions of planets as provided by Jet Propulsion Laboratory have been considered. A variable mutation rate has been implemented that broadens the search area whenever the population becomes uniform. The results are very useful from the point of view of mission analysis and therefore can be used as an initial guess for further optimizations. They can also be the first step for a more refined analysis and time-consuming simulations based on more complex models of orbital perturbations.
The control of nonlinear systems has been putting especial attention in the use of Artificial Intelligent techniques, where fuzzy logic presents one of the best alternatives due to the exploit of human knowledge. Howe...
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The control of nonlinear systems has been putting especial attention in the use of Artificial Intelligent techniques, where fuzzy logic presents one of the best alternatives due to the exploit of human knowledge. However, several fuzzy logic real-world applications use manual tuning (human expertise) to adjust control systems. On the other hand, in the Intelligent Transport Systems (ITS) field, the longitudinal control (throttle and brake management) is an important topic because external perturbations can generate uncomfortable accelerations as well as unnecessary fuel consumption. In this work, we utilize a neuro-fuzzy system to use human driving knowledge to tune and adjust the input-output parameters of a fuzzy if-then system. The neuro-fuzzy system considered in this work is ANFIS (Adaptive-Network-based Fuzzy Inference System). Results show several improvements in the control system adjusted by neuro-fuzzy techniques in comparison to the previous manual tuned controller, mainly in comfort and efficient use of actuators.
This work presents a strategy to track and describe the boundary of an environmental surface using a sequence of incomplete boundary images coming from an UAV with a camera onboard. The algorithm uses all captured ima...
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This work presents a strategy to track and describe the boundary of an environmental surface using a sequence of incomplete boundary images coming from an UAV with a camera onboard. The algorithm uses all captured images to feed the trajectory, which drives the UAV towards the next point to take the next shot, until the identification is completed. The multiple patterns of the input image make the problem difficult. Our approach orders the points of the image to identify the existent edges, and computes the trajectory as a minimization problem using a multi-objective function that gathers information about the boundary and the polynomial that fit in these edges.
This paper presents an approach to trajectory generation for Unmanned Aerial Vehicles (UAV) by using Mixed Integer Linear Programming (MILP) and a modification of the A{sup}* algorithm to optimize paths in dynamic env...
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This paper presents an approach to trajectory generation for Unmanned Aerial Vehicles (UAV) by using Mixed Integer Linear Programming (MILP) and a modification of the A{sup}* algorithm to optimize paths in dynamic environments, particularly having pop-ups with a known future probability of appearance. Each pop-up leads to one or several possible evasion maneuvers, characterized with a set of values used as decision making parameters in an Integer Linear Programming (ILP) model that optimizes the final route by choosing the most suitable alternative trajectories, according to the imposed constrains such as maximum fuel consumption and spent time. The model of the system in MILP and A{sup}* algorithms is presented, as well as the ILP formulation for decision making. Results and discussions are given to promote future real time implementations.
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