Verification and Validation of Real-Time Adaptive Neural Networks Using ANCT Tools and Methodologies, an Application to Intelligent Flight Control Systems F-15 Project

2005 ◽  
Author(s):  
Fola Soares ◽  
Kenneth Loparo ◽  
John Burken ◽  
Stephen Jacklin ◽  
Pramod Gupta
Keyword(s):  
Neural Networks ◽  
Control Systems ◽  
Real Time ◽  
Flight Control ◽  
Verification And Validation ◽  
Adaptive Neural Networks

scholarly journals Real Time Control Systems of a Fighter Aircraft

2020 ◽  
Author(s):  
Asha Garg ◽  
Uma H. R. ◽  
Usha G. ◽  
Amitabh Saraf
Keyword(s):  
Control System ◽  
Control Systems ◽  
Real Time ◽  
Flight Control ◽  
Real Time Control ◽  
Fighter Aircraft ◽  
Redundancy Management ◽  
Time Control ◽  
Environment Control ◽  
Architecture And Design

Most modern fighter aircraft are multi-role by design and rely heavily on a number of systems that are computer controlled in real time for achieving the most optimal performance. This paper presents three important real time control systems designed for the Indian Light Combat Aircraft. These are the flight control system, the anti-skid brake control system and the environment control system. Design objectives for these systems along with a description of their various hardware elements, software architecture and design concepts have been presented here. All the systems house extremely critical functions during different phases of flight, and so are designed for high degrees of reliability and extremely low failure probabilities. The concepts adopted for redundancy management, failure identification and failure handling are also presented.

Research of Nonlinear Adaptive Flight Control Using Inversible System of Neural Networks

2014 ◽  
Vol 490-491 ◽  
pp. 960-963
Author(s):  
Shao Song Wan ◽  
Jian Cao ◽  
Cen Rui Ma ◽  
Cong Yan
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Stability Analysis ◽  
Flight Control ◽  
Feedback Linearization ◽  
Adaptive Neural Networks ◽  
Adaptive Flight Control ◽  
The Status ◽  
Training Structure

This paper discusses training structure and procedure about inversible system of neural network. Feedback linearization and adaptive neural networks provide a powerful controller architecture. Finally, this paper surveys the status of nonlinear, and adaptive flight control, and summarizes the research being conducted in this area. A description of the controller architecture and associated stability analysis is given.

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