Ünal, Zeynep (Middle East Technical University), Gursoy, Gonenc (Middle East Technical University), Yavrucuk, Ilkay (Middle East Technical University)

Simulator Based Evaluation for Helicopter Load Factor Limit Avoidance with Concurrent Learning

Scheduled for presentation during the Regular Session "Aircraft flight control analysis and design 1" (WeM1), Wednesday, April 3, 2019, 10:30−11:00, Carassa-Dadda

5th CEAS Conference on Guidance, Navigation and Control, April 3-5, 2019, Milano, Italy

This information is tentative and subject to change. Compiled on April 26, 2024

Abstract

A neural network based adaptive limit detection algorithm concurrent learning is used in a simulator environment with an active side stick interceptor to test limit avoidance algorithms. The simulator environment uses a generic utility helicopter model, an active side stick controller and a generic engineering development cockpit. The active interceptor is used to give tactile cues to the pilot based on control margin predictions. In this paper the load factor limit for a fly-by-wire helicopter is studied. The adaptive limit detection algorithm uses Linearly Parameterized and Single Hidden Layer Neural Networks to estimate allowable control travels for the longitudinal cyclic input.