Proceedings ArticleDOI
Virtual Sensor for the Angle-of-Attack Signal in Small Commercial Aircraft
M. Oosterom,Robert Babuska +1 more
- pp 1396-1403
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TLDR
The design of a virtual sensor for the Angle-of-Attack signal in a small commercial aircraft is described, which combines a white-box linear time-varying model, a gray-box nonlinear Takagi-Sugeno fuzzy model and a black-box neural network compensator, whose purpose is to reduce the estimation error of the linear parameter varying model.Abstract:
An aircraft carries on board many sensors which measure a wide variety of variables. Due to the relations between the measured signals, a certain level redundancy is available. This redundancy can be used to estimate a particular variable based on signals that represent other variables. Such an estimator can be used as a virtual sensor. This paper describes the design of a virtual sensor for the Angle-of-Attack signal in a small commercial aircraft. In order to effectively use all available knowledge and data, and to comply with the stringent design requirements, the virtual sensor combines a number of technologies: a white-box linear time-varying model, a gray-box nonlinear Takagi-Sugeno (TS) fuzzy model and a black-box neural network compensator, whose purpose is to reduce the estimation error of the linear parameter varying model. The TS model and the neural network are trained by using data from nonlinear aircraft simulations. The inputs of the neural network are selected by a genetic search algorithm with a backward elimination procedure. Extensive evaluation has shown that the design requirements are amply met and that the proposed design methodology has a good potential for future applications in aircraft and other high-performance systems.read more
Citations
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Journal ArticleDOI
A comprehensive survey on the methods of angle of attack measurement and estimation in UAVs
L. Sankaralingam,C. Ramprasadh +1 more
TL;DR: The AOA measurement using virtual AOA sensors, their importance and the operation is discussed, specifically in Unmanned Aerial Vehicle (UAV) applications.
Journal ArticleDOI
Multistage-Fusion Algorithm for Estimation of Aerodynamic Angles in Mini Aerial Vehicle
C. Ramprasadh,Hemendra Arya +1 more
TL;DR: In this article, a data fusion algorithm for estimating the aerodynamic angles in a MAV is presented, where the true states of the aircraft motion are generated using a flight simulation program and a zero mean white noise is added to few of these states as required for the measurements.
Journal ArticleDOI
Aerodynamic angle estimation: comparison between numerical results and operative environment data
TL;DR: This paper focuses on flight testing procedures in operative environment and data processing for the Smart-ADAHRS validation with real data, and feasible solutions are suggested to solve the typical gap between virtual and real scenario, both in terms of data analysis and neural network architecture.
Journal ArticleDOI
Preliminary Design of a Model-Free Synthetic Sensor for Aerodynamic Angle Estimation for Commercial Aviation.
TL;DR: Results demonstrate that an alternate solution is possible enabling significant savings in terms of computational effort and lines of codes but they show, at the same time, that a better training strategy may be beneficial to cope with the new neural network architecture.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Journal ArticleDOI
Fuzzy identification of systems and its applications to modeling and control
T. Takagi,Michio Sugeno +1 more
TL;DR: A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented and two applications of the method to industrial processes are discussed: a water cleaning process and a converter in a steel-making process.
Book
Genetic Algorithms + Data Structures = Evolution Programs
TL;DR: GAs and Evolution Programs for Various Discrete Problems, a Hierarchy of Evolution Programs and Heuristics, and Conclusions.