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Алгоритмы адаптивных позиционно-траекторных систем управления подвижными об’ектами

Алгоритмы адаптивных позиционно-траекторных систем управления подвижными об’ектами

Abstract

The paper describes the algorithms of adaptive control systems for mobile object. The problem is positioning to point, assuming parametric uncertainty and unmeasured disturbances affecting the mobile object. Basic computation algorithms of control forces and moments are synthesized using the method of position-trajectory control. The structure and algorithms of adaptive position-trajectory system with the reference model are proposed. Carried out is the synthesis of adaptive regulator and stability analysis of the closed system. An example of the regulator synthesis is given and the simulation results for autonomous underwater vehicle are shown.

Описаны алгоритмы адаптивных систем управления подвижными объектами. Рассмотрена задача позиционирования в точке в предположении параметрической неопределенности и действия на подвижный объект неизмеряемых возмущений. С помощью метода позиционно-траекторного управления синтезированы базовые алгоритмы вычисления управляющих сил и моментов. Предложены структура и алгоритмы адаптивной позиционно-траекторной системы с эталонной моделью. Показан синтез адаптивного регулятора и дан анализ устойчивости замкнутой системы. Приведен пример синтеза регулятора и представлены результаты моделирования для автономного необитаемого подводного аппарата.

Keywords

ПОЗИЦИОННО-ТРАЕКТОРНОЕ УПРАВЛЕНИЕ, АДАПТИВНОЕ УПРАВЛЕНИЕ, ПОДВИЖНЫЙ ОБЪЕКТ, ЭТАЛОННАЯ МОДЕЛЬ, АВТОНОМНЫЙ НЕОБИТАЕМЫЙ ПОДВОДНЫЙ АППАРАТ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold