Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/56659
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Type: Journal article
Title: Design and stability discussion of an hybrid intelligent controller for an unordinary system
Author: Mohammadzaheri, M.
Chen, L.
Citation: Asian Journal of Control, 2009; 11(5):476-488
Publisher: Wiley-Blackwell Publishing, Inc.
Issue Date: 2009
ISSN: 1561-8625
1934-6093
Statement of
Responsibility: 
Morteza Mohammadzaheri, Lei Chen
Abstract: In this paper, the pitch angle control of a lab model helicopter is discussed. This problem has some specific features. As a major unusual feature, it is observed that the steady state control command is completely dependent on the setpoint, and for different setpoints, different steady state control commands are needed to keep the error around zero. Moreover, the system is one with highly oscillating dynamics. In order to solve this control problem, two controllers are designed: an artificial neural network (ANN), whose input is the setpoint, is used to provide steady state control command, and a fuzzy inference system (FIS), whose input is error, is used to provide transient control command. The total control command is (he sum of the two aforementioned control commands. It is proven that both ANN and FIS are boundary-input boundary-output (BIBO) systems. Using this fact and considering two experimental assumptions, the closed-loop stability is also proven. ©2009 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society.
Keywords: Neural networks
fuzzy
control
model helicopter
pitch angle
Description: Copyright © 2009 Blackwell Publishing Asia Pty Ltd and Chinese Automatic Control Society
DOI: 10.1002/asjc.129
Appears in Collections:Aurora harvest
Mechanical Engineering publications

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