Anti-overshoot control of model helicopter's yaw angle with combination of fuzzy controller and fuzzy brake

Morteza Mohammadzaheri*, Ley Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In this research, the fuzzy control of the yaw angle of a model helicopter is studied, particularly, in order to reduce the overshoot which can be a serious problem in high inertia systems. Initially, a Sugeno-type controller is designed. This controller provides quick convergence and keeps the control input in a permitted range .Moreover, a good stability is offered by this fuzzy controller. But, a significant and repeating overshoot is observed in controlled system behaviour that is not desirable. In order to solve this problem and improve the control system, another fuzzy inference system, namely "fuzzy brake", is added to the closed loop circuit. Fuzzy brake's task is to reduce the control input when the error is low. The proposed Sugeno-type fuzzy controller with brake (SFCB) not only vanishes the overshoot practically but also causes a considerable reduction in energy consumption, at the same time, SFCB improves the performance.

Original languageEnglish
Title of host publication2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007
Pages99-103
Number of pages5
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007 - Kuala Lumpur, Malaysia
Duration: Nov 25 2007Nov 28 2007

Publication series

Name2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007

Other

Other2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007
Country/TerritoryMalaysia
CityKuala Lumpur
Period11/25/0711/28/07

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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