Abstract
Research directions for carrying out scientific works are presented within the Avionics Engineering Center at Bauman Moscow State Technical University. The structure of Avionics Engineering Center is illustrated and prospective areas of working are highlighted. Methods on implementation of perspective scientific research and educational programs are developed for innovative development of the Avionics Engineering Center. Symbiosis of new developed programs allows training and getting a set of better quality specialists and innovative technologies in the defense and aerospace industry.
TopIntroduction
For the education of high-level professionals, the “Russian method of engineering training” was originally developed and successfully implemented at Bauman Moscow State Technical University (BMSTU). Nowadays, for implementation modern innovative technologies (Knyaginin, Meshkov, & Utolin, 2016), the Avionics Engineering Center was built as a joint project of Bauman Moscow State Technical University and Ramenskoye Design Company. In this sense, the project “Avionics Engineering Center” is a practical implementation of the method “Russian method of engineering training” in modern information society.
Avionics Engineering Center has been working on the following main research and educational directions:
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Preparation of bachelors, engineers, masters and highly qualified specialists in the priority areas;
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Improvement of training methods, creating a highly effective system for training technical professions;
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Carrying out joint research projects;
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Participation in scientific competitions, grants, awards, including Grants of Ministry of Education and Science of Russian Federation;
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Joint organization of international conferences and symposia;
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International cooperation, for example, international laboratory;
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Organization of joint scientific journal, scientific and methodical bases;
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Joint intellectual property rights (patents);
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Joint participation in competitions, grants, awards and research funds.
TopThe Equipment And Research Works Of The Center
The equipment of the Avionics Engineering Center located in three main areas:
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The multipurpose multifunctional exerciser based on four-generation aircraft cabin with spread spectrum of functionality: simultaneous work for several students, practicing coalition cooperation, advanced training of flight crews under conditions that are close to combat, practicing dueling and group interaction of several aircrafts, and further complication for training purposes;
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The Laboratory of Intelligent Systems at Bauman Moscow State Technical University includes several operational working stations for pilots which are adapted to current and future requirements, such as formation of flight mission during multi-conflict flight situation, coalition, interaction and formation of models of external environment;
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The research is in progress with real navigation and piloting systems and platforms of modeling aerodynamic characteristics.
Figure 1.
The View of Testing Platform and Navigation Systems at the Avionics Engineering Center
The research works are carried out in the following directions:
Key Terms in this Chapter
Kalman Filter: An algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by using Bayesian inference and estimating a joint probability distribution over the variables for each timeframe. The filter is named after Rudolf E. Kálmán, one of the primary developers of its theory.
Inertial Navigation System: A navigation aid that uses a computer, motion sensors (accelerometers) and rotation sensors (gyroscopes) to continuously calculate via dead reckoning the position, orientation, and velocity of a moving object without the need for external references.
Group Method of Data Handling: A family of inductive algorithms for computer-based mathematical modeling of multi-parametric datasets that features fully automatic structural and parametric optimization of models.
Intelligent System: A system with artificial intelligence.
Genetic Algorithm: A metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms.
Global Navigation Satellite System: A system that uses satellites to provide autonomous geo-spatial positioning.
Avionics: The electronic systems used on aircraft, artificial satellites, and spacecraft. The term avionics is a portmanteau of the words aviation and electronics.
Neural Network: A computational model used in computer science and other research disciplines, which is based on a large collection of simple neural units (artificial neurons), loosely analogous to the observed behavior of a biological brain's axons.