Енергетика: економіка, технології, екологія: науковий журнал, № 1 (59)
Постійне посилання зібрання
Переглянути
Перегляд Енергетика: економіка, технології, екологія: науковий журнал, № 1 (59) за Автор "Bosak, A."
Зараз показуємо 1 - 1 з 1
Результатів на сторінці
Налаштування сортування
Документ Відкритий доступ Modeling of aircraft steering control system with traction electric drive by used an adaptive fuzzy controller(КПІ ім. Ігоря Сікорського, 2020) Matushkin, D.; Bosak, A.; Kulakovskyi, L.; Dubovyk, V.; Priadko, S.One of the main tasks of the last two decades is to find ways to optimize energy consumptions for aircrafts. The commercial aviation business is increasingly using environmental monitoring systems and electrical control by using AC and DC tires. One of the trends in the development of aircraft control systems is the replacement of hydraulic and pneumatic systems with electrical ones. The aerospace industry and airlines are interested in performing steering operations without major engines. This operation method allows to save fuel, reduce brake wear, eliminates towing and achieve decreasing of environmental pollution. In the future it is necessary to implement electric steering using a traction drive (TD) based on a synchronous motor with permanent magnets (PMSM). This system is powered by an available auxiliary power unit or other sources such as fuel cells or batteries. This study presents a highly efficient electric steering system as a modern solution for improving the ground operations of modern aircraft powered by main engines. The system was investigated using steering profiles for takeoff and landing. The study determined the effectiveness of its use for steering. The influence of external factors and the change of parameters of the electromechanical system of wheel with an elastic tire were investigated. The results of modeling the dynamic processes of an electromechanical system containing elastic links in the conditions of parametric perturbations confirmed the robust stabilization of dynamic control quality indicators based on the laws of fuzzy logic.