Title :
Fault tolerant neuro-H∞ controller design for aircraft auto-landing
Author :
Li, Yan ; Wang, Zhifeng ; Sundararajan, N. ; Saratchandran, P.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Abstract :
A fault tolerant controller is designed for aircraft auto-landing by integrating a dynamic structured radial basis function network (RBFN) with traditional controllers. The RBFN, with the name of minimal resource allocating network (MRAN), is used in the outer loop to aid an inner conventional controller. Simulation results demonstrate satisfactory performance of the proposed MRAN neuro-flight controller for aircraft auto-landing even under severe wind and control surface loss.
Keywords :
H∞ control; aircraft landing guidance; control system analysis; control system synthesis; fault tolerance; neurocontrollers; radial basis function networks; resource allocation; aircraft auto-landing; dynamic structured radial basis function network; fault tolerant neuro-H∞ controller design; inner conventional controller; minimal resource allocating network; neuro-flight controller; outer loop; Aerospace control; Aerospace electronics; Aircraft; Control systems; Fault tolerance; Feedforward neural networks; Feedforward systems; Neural networks; Resource management; Three-term control;
Conference_Titel :
System Theory, 2003. Proceedings of the 35th Southeastern Symposium on
Print_ISBN :
0-7803-7697-8
DOI :
10.1109/SSST.2003.1194552
