Design and stability discussion of an hybrid intelligent controller for an unordinary system

Morteza Mohammadzaheri*, Lei Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)476-488
Number of pages13
JournalAsian Journal of Control
Volume11
Issue number5
DOIs
Publication statusPublished - Sep 2009

Keywords

  • Control
  • Fuzzy
  • Model helicopter
  • Neural networks
  • Pitch angle

ASJC Scopus subject areas

  • Control and Systems Engineering

Fingerprint Dive into the research topics of 'Design and stability discussion of an hybrid intelligent controller for an unordinary system'. Together they form a unique fingerprint.

Cite this