Controlling the pitch and yaw angles of a 2-DOF helicopter using interval type-2 fuzzy neural networks

Mojtaba Ahmadieh Khanesar*, Erdal Kayacan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

Due to not only having strong nonlinear inter-couplings in its model but also being an open-loop unstable system, control of a 2-degree of freedom (DOF) helicopter is a challenging task. This chapter deals with the decentralized control of the Quanser 2-DOF helicopter system by designing an interval type-2 fuzzy neural network for the control of the pitch and yaw angles by using a sliding mode control theory-based training algorithm. The proposed control method is known as feedback error learning in which an intelligent controller, a type-2 fuzzy neural network in this case, works in parallel with a conventional PD controller. In the proposed scheme, on one hand, the conventional PD controller is responsible to maintain the stability of the system until the intelligent controller takes the responsibility of controlling the system. On the other hand, the intelligent controller learns the system dynamics online with a sliding mode control-theory based learning algorithm. The simulation results show that without having neither a priori knowledge about the mathematical model of the system nor its parameters, the proposed control algorithm is able to track the reference signals for both yaw and pitch angles without giving a steady state error. In addition, the simulation results show the superiority of the proposed control scheme over its type-1 counterpart in the presence of noise in the system. In addition to its robustness, the sliding mode control theory-based learning algorithm has additional advantages such as having no matrix manipulations or partial derivatives which makes the overall training and control algorithm computationally simple and fast when compared to other methods, e.g. gradient-descent based methods.

Original languageEnglish
Title of host publicationStudies in Systems, Decision and Control
Number of pages22
Volume24
PublisherSpringer International Publishing
Publication date2015
Pages349-370
DOIs
Publication statusPublished - 2015
Externally publishedYes
SeriesStudies in Systems, Decision and Control
Volume24
ISSN2198-4182

Keywords

  • 2-DOF helicopter
  • Feedback error learning
  • Sliding mode control theory-based learning algorithm
  • Type-2 fuzzy neural network

Cite this

Khanesar, M. A., & Kayacan, E. (2015). Controlling the pitch and yaw angles of a 2-DOF helicopter using interval type-2 fuzzy neural networks. In Studies in Systems, Decision and Control (Vol. 24, pp. 349-370). Springer International Publishing. Studies in Systems, Decision and Control, Vol.. 24 https://doi.org/10.1007/978-3-319-18290-2_17