Fault detection and identification technique in control systems with redundant inertial measurement unit

Аuthors

Gorbatenko S. A.^*, Klionovska K. K.^**

Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia

*e-mail: mai_kaf604@mail.ru
**e-mail: klionovska@gmail.com

Abstract

Development of aviation technology requires the use of a variety of measuring systems to determine the motion and positioning variables of the aircrafts in the space. Requirements for the reduction of weight and dimensions of such systems are the first since the objects themselves demonstrate a tendency to reduce their weight and size characteristics.

Availability of inertial measurements units (IMU) allows to create tiny strapdown inertial navigation system (SINS), which have small weight and dimensions, and can be used in areas such as attitude control system, radar, avionics, data transmission system, navigation, etc. The work of these systems is accompanied by a variety of errors and failures, which leads to the urgency of early detection and recognition of their errors. This difficult problem can be solved on the basis of different approaches and with varying degrees of success.

The article describes one of the possible ways to solve this problem, such as using combination of two methods like a parity space approach and the discrete wavelet transform in the redundant system with additional IMU. Such combination allows to detect three faulty sensors and to isolate each of them out from the system during the system operation. The one of the positive advantage of this algorithm that it is not demanded to know the dynamic of the system model, except orientation of the sensors in the measurement system organized with redundant IMU. The simulation of the successful operation of this algorithm with two types of sensor faults, such as bias and stuck, are demonstrated in this work.

Keywords:

inertial measurement unit, fault detection and identification, parity space approach, discrete wavelet transformation

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