Model of intelligent motion control of an unmanned aircraft system when landing on moving marine objects

被引:0
|
作者
Shatalova, Natalia, V [1 ]
Borodina, Olga, V [1 ]
Mikhailova, Mariya Yu. [1 ]
机构
[1] Russian Acad Sci, Solomenko Inst Transport Problems, 13,Line 12, St Petersburg 199178, Russia
来源
关键词
moving objects; aircraft; cognitive assistant; video image; flight profile; landing space; decision making;
D O I
10.37220/MIT.2024.65.3.046
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Displacement of the center of mass of a loaded aircraft moving in a continuously changing profile of moving air masses is an unstable process and requires constant compensation. For the pilot to make visual contact with the moving marine objects, it is necessary to control not only the longitudinal stability of the seaplane, but also its spatial position relative to the plane of the moving marine objects. Feedback systems of the aircraft's on-board equipment are designed to compensate for the aerodynamic profile of the flight. The article analyzes the world experience of integrating unmanned aerial systems into the airspace with manned aircraft. The factors of the choice of the control solution by the aircraft operator are analyzed, such as the rules of flights in airspace, operational procedures for leveling the center of mass by the aircraft operator and the need to take into account the weather conditions at sea for a safe landing on moving marine objects. The efficiency of maintaining the aerodynamic profile by the operator and the functional scheme of the autopilot for solving this problem are analyzed. A method of intellectualization of the decision support system by a cognitive assistant based on a change in the strength of the control action on the servo is proposed. An algorithm for collecting data into a computational device of a cognitive assistant and a scheme for the functional expansion of automatic control of the longitudinal stability of an aircraft when landing on moving marine objects are proposed. An algorithm for correcting the pilot's visual experience for the "cognitive assistant" device is proposed. The developments proposed in the work implement an integrated approach to the functioning of the cognitive assistant pilot model for visual approach to the moving marine objects.
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