Result: Sliding mode control based on fuzzy neural network for missile electro-hydraulic servo mechanism
Title:
Sliding mode control based on fuzzy neural network for missile electro-hydraulic servo mechanism
Authors:
Source:
Intelligent control and automation (International conference on Intelligent computing, ICIC 2006, Kunming, China, August 16-19, 2006)0ICIC 2006. :385-394
Publisher Information:
Berlin: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 11 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Control theory, operational research, Automatique, recherche opérationnelle, Documentation, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Automatique théorique. Systèmes, Control theory. Systems, Synthèse des systèmes de commande, Control system synthesis, Algorithme rétropropagation, Backpropagation algorithm, Algoritmo retropropagación, Broutage machine, Chatter, Chirrido, Circuit hydraulique, Hydraulic circuit, Circuito hidráulico, Commande floue, Fuzzy control, Control difusa, Commande hydraulique, Hydraulic control, Mando hidraúlico, Commande missile, Missile control, Commande non linéaire, Non linear control, Control no lineal, Commande position, Position control, Regulación de la posición, Commande structure variable, Variable structure control, Mando estructura variable, Commande électrohydraulique, Electrohydraulic control, Control electrohidraulico, Missile, Misil, Mode glissant, Sliding mode, Modo deslizante, Modélisation, Modeling, Modelización, Robustesse, Robustness, Robustez, Réseau neuronal, Neural network, Red neuronal, Synthèse commande, Control synthesis, Síntesis control, Système dynamique, Dynamical system, Sistema dinámico, Système incertain, Uncertain system, Sistema incierto, Tâche poursuite, Tracking task, Tarea persecución
Document Type:
Conference
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
302 Branch, Xi'an Research Inst. Of High-tech, Hongqing Town, 710025, China
ISSN:
0170-8643
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.18393483
Database:
PASCAL Archive
Further Information
The position tracking control of a missile electro-hydraulic servo Mechanism is studied. Since the dynamics of the system are highly nonlinear and have large extent of model uncertainties, such as big changes in parameters and external disturbance, a design method of sliding mode control (SMC) based on fuzzy neural network (FNN) is proposed. A FNN is introduced in conventional SMC, which uses the dynamical back propagation (BP) algorithm to ensure the existing condition of SMC. The chattering brought by sliding mode switch control can be effectively attenuated, without sacrificing the robustness of SMC. Simulation results verify the validity of the proposed approach.