Analysis of Neural Augmentation Performance for Fault Tolerant Control Laws Based on Flight Tests

Author(s):  
Mario Perhinschi ◽  
Marcello Napolitano
2012 ◽  
Vol 466-467 ◽  
pp. 1424-1428
Author(s):  
Guang Hong ◽  
Shuai Zhang

This paper presents the development of a simulation environment in Matlab/Simulink for the analysis of the Sub-System of a kind of self-propelled gun and the design of fault tolerant control laws for this configuration. The environment includes the input module, output module and Simulation Nucleus and modeling of several types of engine failure. The simulation environment capable of implementing failure prediction has been implemented successfully as groundwork for analysis of the engine subsystem of self-propelled gun. Preliminary simulation results show the simulation environment is efficient for the Probabilistic neural network. Both abnormal oil pressure and rotate speed failures have been simulated. The simulation environment provides the necessary tools for the development and testing of advanced fault tolerant control laws.


Author(s):  
Muhammad Tayyeb ◽  
Umar Riaz ◽  
Arslan Ahmed Amin ◽  
Omer Saleem ◽  
Muhammad Arslan ◽  
...  

Elevators are surfaces of flight control, typically at the rear of an aircraft to control the pitch of the plane, the angle of attack and the wing lift. The most critical actuation device is longitudinal aircraft control, and its failures will result in a catastrophic aircraft crash. This paper proposes a Highly Redundant Fault Tolerant Control (HRFTC) policy for the aircraft to accommodate faults in the critical sensors and actuators. Modified Triple Modular Redundancy (MTMR) has been proposed for the sensors and Dual Redundancy (DR) has been proposed for the actuators.  The working of control laws, pilot order, signal conditioning, and failure are elaborated. Furthermore, the PID controller is used for the adjustment of the position of the elevator by comparing it with a set point. The results show that when a fault occurs, the system detects it successfully and tolerates it quickly without disturbing the flight of aircraft. The study is significant for the avionics industry for manufacturing highly reliable machines for human and environmental safety.


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