Study of Setting up Simulation Platform of Self-adaptive Flight Control System with Self-repair Function

Authors

Long Hao, 1. College of Automation, Beijing Union University, Beijing 100101, China; ;
Shujie Song, 2. Aviation Industry Corporation of China, Beijing 100022, China;

Abstract

Abstract: The frame and characteristic of self-adaptive flight control system with self-repair function for aircraft with thrust vector were studied. RHO optimal algorithm was used to realize online controller design. MSLS algorithm was used to realize online flight identify parameters. Global parity space method, sensor data fusion and probability theory were used to realize FDI algorithm. The simulation platform used to simulate self-repair function with aircraft control surface failure was developed using OOP language VC++6.0 and three-dimensional graphics language OpenGL. Simulations show that the control surface and flight aerodynamic parameter change with flying states in the flight movement simulation. In this platform, the faults of the flight can be loaded to the flight system according to user’s need, and has fine self-repair function.

Recommended Citation

Hao, Long and Song, Shujie (2020) "Study of Setting up Simulation Platform of Self-adaptive Flight Control System with Self-repair Function," Journal of System Simulation: Vol. 27: Iss. 11, Article 24.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss11/24

First Page

2791

Revised Date

2014-03-28

DOI Link

https://doi.org/

Last Page

2796

CLC

G590.6510

Recommended Citation

Long Hao, Song Shujie. Study of Setting up Simulation Platform of Self-adaptive Flight Control System with Self-repair Function[J]. Journal of System Simulation, 2015, 27(11): 2791-2796.