Fault Detection in Navigation System of ALV Based on Symmetrical Behavior of Control Channels

Abstract:

The present study develops an advanced Fault detection (FD) strategy to improve the reliability of an Aerospace Launch Vehicle (ALV) navigation system. For this purpose, FD system is constructed to detect normal navigation faults operating as a soft sensor, based on the symmetrical dynamic behavior of the yaw and pitch channels of the vehicle. In the face of pitch channel sensor failure, the dynamic model of the yaw channel of the vehicle is identified using the recursive least squares (RLS) method. Based on the symmetrical behavior of the ALV in the yaw and pitch channels, the dynamic model of the yaw channel is substitute by the dynamic model of the pitch one and consequently, the pitch gyroscope output is constructed to provide fault detection navigation solution. The novel aspect of this fault detection system is employing symmetrical dynamic behavior of the yaw and pitch channels as an online tuning of analytical fault detection system against unforeseen variations due to its hardware/software property. Simulation Results and sensitivity analysis show that the proposed techniques can produce better estimation results than those of the previous techniques against sensor failures.

• Periodical: Applied Mechanics and Materials (Volume 798)
• Pages: 266-270
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.798.266
• Online since: October 2015
• Authors: S.M. Mehdi Hasani*, A.Majid Khoshnood, Jafar Roshanian
• Keywords: Aerospace Launch Vehicle, Fault Detection, Navigation System

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