Адаптивна мікропроцесорна система автоматичного керування безпілотним літальним аппаратом
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Файли
Дата
2020
Автори
Радельчук, Г.І.
Макаришкін, Д.А.
Гребінчук, А.Д.
Бондар, А.Ю.
Radelchuk, G.
Makaryshkin, D.
Hrebinchuk, A.
Bondar, A.
Назва журналу
Номер ISSN
Назва тому
Видавець
Хмельницький національний університет
Анотація
У статті наведено структуру адаптивної мікропроцесорної системи автоматичного керування безпілотним літальним
апаратом із використанням нелінійної моделі безпілотного літального апарату, що дозволяє підвищити ефективність
керування та вимірювання координат безпілотних літальних апаратів. Представлені результати аналізу існуючих адаптивних
мікропроцесорних систем автоматичного керування безпілотним літальним апаратом. Встановлено їх переваги та недоліки.
Для реалізації на практиці реальної програми керування польотом безпілотного літального апарату є необхідним застосування
систематичного процесу проєктування та моделювання адаптивної мікропроцесорної системи керування використовуючи
алгоритми адаптивного керування зі зворотнім зв’язком L1.
The modern development of unmanned aerial vehicles is extremely important for the defense capability, sovereignty and economy of Ukraine. The range of practical applications of unmanned aerial vehicles is very wide. The most important tasks of unmanned aerial vehicles are related to their use in the military, civilian (public, private, commercial) and anti-terrorist industries. Unmanned aerial vehicles have a number of advantages: high maneuverability, widely used in all areas of human activity, reliability and economy. Unmanned aerial vehicles are used in a wide range of applications, such as research, civil engineering, military use, aerial photography, search and rescue operations, and risk zone surveys. One of the most important classes of unmanned aerial vehicles are quadrocopters, which have significant advantages in many parameters, such as simplicity of design, rapid manufacture and low cost. In recent years, the subject of many scientific studies in the field of quadcopters has been the control of their position, in part the height of the quadcopter. During these scientific studies, many algorithms have been proposed to solve the problem of quadcopter control. The paper presents the structure of an adaptive microprocessor system for automatic control of unmanned aerial vehicles using a nonlinear model of unmanned aerial vehicles, which allows to increase the efficiency of control and measurement of coordinates of unmanned aerial vehicles. The results of the analysis of the existing adaptive microprocessor systems of automatic control of the unmanned aerial vehicle are presented. Their advantages and disadvantages are established. To implement a real flight control program for an unmanned aerial vehicle, it is necessary to use a systematic process of designing and modeling an adaptive microprocessor control system using adaptive control algorithms with L1 feedback.
The modern development of unmanned aerial vehicles is extremely important for the defense capability, sovereignty and economy of Ukraine. The range of practical applications of unmanned aerial vehicles is very wide. The most important tasks of unmanned aerial vehicles are related to their use in the military, civilian (public, private, commercial) and anti-terrorist industries. Unmanned aerial vehicles have a number of advantages: high maneuverability, widely used in all areas of human activity, reliability and economy. Unmanned aerial vehicles are used in a wide range of applications, such as research, civil engineering, military use, aerial photography, search and rescue operations, and risk zone surveys. One of the most important classes of unmanned aerial vehicles are quadrocopters, which have significant advantages in many parameters, such as simplicity of design, rapid manufacture and low cost. In recent years, the subject of many scientific studies in the field of quadcopters has been the control of their position, in part the height of the quadcopter. During these scientific studies, many algorithms have been proposed to solve the problem of quadcopter control. The paper presents the structure of an adaptive microprocessor system for automatic control of unmanned aerial vehicles using a nonlinear model of unmanned aerial vehicles, which allows to increase the efficiency of control and measurement of coordinates of unmanned aerial vehicles. The results of the analysis of the existing adaptive microprocessor systems of automatic control of the unmanned aerial vehicle are presented. Their advantages and disadvantages are established. To implement a real flight control program for an unmanned aerial vehicle, it is necessary to use a systematic process of designing and modeling an adaptive microprocessor control system using adaptive control algorithms with L1 feedback.
Опис
Ключові слова
адаптивна мікропроцесорна система автоматичного керування, безпілотний літальний апарат, адаптивне керування, лінійна модель, нелінійна модель, adaptive microprocessor automatic control system, unmanned aerial vehicle, adaptive control, inear model, nonlinear model
Бібліографічний опис
Радельчук Г. І. Адаптивна мікропроцесорна система автоматичного керування безпілотним літальним аппаратом / Г. І. Радельчук, Д. А. Макаришкін, А. Д. Гребінчук, А. Ю. Бондар // Вимірювальна та обчислювальна техніка в технологічних процесах. – 2020. – № 2. – С. 65-69.