novtexmechМехатроника, автоматизация, управлениеMekhatronika, Avtomatizatsiya, Upravlenie1684-64272619-1253Commercial Publisher «New Technologies»10.17587/mau.20.515-523novtexmech-685Research ArticleСИСТЕМНЫЙ АНАЛИЗ, УПРАВЛЕНИЕ И ОБРАБОТКА ИНФОРМАЦИИSYSTEM ANALYSIS, CONTROL AND INFORMATION PROCESSINGКонструкция адаптивного наблюдателя для выявления и моделирования ошибок датчикаAdaptive Observer Design for Sensor Fault Detection and ReconstructionБедиуиН.BediouiN.

доц.

г. Тунис, Тунис

Associate Professor

Tunis

bedioui_neila_enit@yahoo.frУимлиР.HouimliR.

PhD

г. Тунис, Тунис

PhD

Tunis

radhia.houimli@gmail.comБесбесМ.BesbesM.

проф.

г. Тунис, Тунис

Professor

Tunis

mongi.besbes@gmail.comЛаборатория робототехники, информатики и сложных систем, Национальная инженерная школа Туниса, Университет Тунис-Эль-Манар; Институт информационно-коммуникационных технологий, Университет КарфагенаТунисRobotics, Informatics and Complex Systems (RISC), ENIT, University of Tunis El Manar; Higher Institute of Information and Communication Technol ogies, University of CarthageTunisiaИнститут информационно-коммуникационных технологий, Университет КарфагенаТунисHigher Institute of Information and Communication Technol ogies, University of CarthageTunisia201905092019209515523Copyright © Commercial Publisher «New Technologies», 20192019Commercial Publisher «New Technologies»Commercial Publisher «New Technologies»https://mech.novtex.ru/jour/about/submissions#copyrightNoticehttps://mech.novtex.ru/jour/article/view/685

Представлен новый подход к выявлению ошибок датчиков, их моделированию и оценке состояния. Рассматриваемая система представляет собой линейную политопную систему с изменяющимися параметрами. Основная идея заключается в формировании нового надежного адаптивного наблюдателя в рамках поликвадратического подхода с новым релаксационным множеством. Достаточные условия задаются набором линейных матричных неравенств, которые гарантируют устойчивость системы и асимптотическую сходимость оценки ошибки. Для иллюстрации использования предложенных методов приведен пример моделирования, в котором осуществляется идентификация постоянной и переменной ошибки датчика.

A new approach is presented for sensor fault detection reconstruction and state estimation. The system considered is linear polytopic parameter-vary ing (LPV) system. The main idea is the design of a novel robust adaptive observer based on and polyquadratic formulation with a new set of relaxation. Sufficient conditions are given by a set of Linear Matrix Inequalities (LMI) in order to guarantee the stability of the system and the asymptotic convergence of the fault error. A simulation example has been studied to illustrate the proposed methods by detecting constant and variable sensor fault.

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The authors declare that there are no conflicts of interest present.