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 dep.oyed 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.
Formal engineering constitutes a very important issue in software engineering projects in real life. The developing of software does not always reach the desired level of reliability and performance even the life cycl...
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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 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 describes an interactive tool focused on teaching and learning basic concepts on multivariable control systems. Most industrial processes are represented by multivariable systems and thus the teaching and l...
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This paper describes an interactive tool focused on teaching and learning basic concepts on multivariable control systems. Most industrial processes are represented by multivariable systems and thus the teaching and l...
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This paper describes an interactive tool focused on teaching and learning basic concepts on multivariable control systems. Most industrial processes are represented by multivariable systems and thus the teaching and learning of basic concepts on multivariable control is a key factor in control engineering education. In this sense, the interactive tool presented in this paper is aimed to introduce basic ideas on multivariable control systems mainly focused on interaction and pairing concepts.
作者：
DE LA CRUZ J.MHERRáN-GONZáLEZ ARISCO-MARTíN J.LANDRéS-TORO BDepartment of Computer Architecture and Automatic Control
Complutense University of Madrid 28040 Madrid SpainDepartment of Computer Architecture and Automatic Control Complutense University of Madrid 28040 Madrid SpainDepartment of Computer Science Engineering C.E.S. Felipe II (U.C.M.) 28300 Aranjuez SpainDepartment of Computer Architecture and Automatic Control Complutense University of Madrid 28040 Madrid Spain
We solve the problem of petroleum products distribution through oil pipelines networks. This problem is modelled and solved using two techniques: A heuristic method like a multiobjective evolutionary algorithm and Mat...
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We solve the problem of petroleum products distribution through oil pipelines networks. This problem is modelled and solved using two techniques: A heuristic method like a multiobjective evolutionary algorithm and Mathematical Programming. In the multiobjective evolutionary algorithm, several objective functions are defined to express the goals of the solutions as well as the preferences among them. Some constraints are included as hard objective functions and some are evaluated through a repairing function to avoid infeasible solutions. In the Mathematical Programming approach the multiobjective optimization is solved using the Constraint Method in Mixed Integer Linear Programming. Some constraints of the mathematical model are nonlinear, so they are linearized. The results obtained with both methods for one concrete network are presented. They are compared with a hybrid solution, where we use the results obtained by Mathematical Programming as the seed of the evolutionary algorithm.
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