Open AccessFuzzy Control Design for a Class of Nonlinear Network Control System: Helicopter Case Study
Author(s) -
P. Quiñones-Reyes,
Jorge L. Ortega-Arjona,
Paul E. Méndez-Monroy,
Héctor BenítezPérez,
A. Durán-Chavesti
Publication year - 2014
Publication title -
international journal of computers communications and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.422
H-Index - 33
eISSN - 1841-9844
pISSN - 1841-9836
DOI - 10.15837/ijccc.2012.2.1416
Subject(s) - ethernet , fuzzy logic , computer science , nonlinear system , networked control system , fuzzy control system , control system , fuzzy electronics , control theory (sociology) , control engineering , mimo , channel (broadcasting) , class (philosophy) , control (management) , adaptive neuro fuzzy inference system , computer network , artificial intelligence , engineering , physics , quantum mechanics , electrical engineering
This paper presents a fuzzy control approach to a helicopter MIMO nonlinear system, implemented on a Networked Control System, as case study. For this, a hardware-in-the-Loop implementation is developed using several multi-channel A/D Cards, integrated to a computer network system. Variant time delays are considered over Ethernet and CANBUS networks. Fuzzy logic is used to deal with the complexity of the integrated computer network as well as with the dynamics of the system. Two fuzzy logic control systems are coupled for both signals of the helicopter case study: yaw and pitch. Both these tend to concentrate around desired references, considering variant time
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