Robust observer based model predictive control of a 3-DOF helicopter system

Yujia Zhai*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

Helicopter systems are characterized by highly nonlinear dynamics, multiple operating regions, and significant interaction among state variables. In this paper, an observer based model predictive control (MPC) scheme with successive linearization is presented, for a 3 degree of freedom (DOF) helicopter system. All control simulations were performed under the conditions of noisy measurements. To illustrate the advantage by using unscented Kalman filter (UKF) as the observer, the performance of UKF based MPC is compared with those of MPC algorithms using linear filters and extended Kalman filter (EKF). The simulation results have shown that for this application the UKF-based MPC has superior performance, in terms of the disturbance rejection and set-point tracking.

Original languageEnglish
Title of host publicationFuture Information Communication Technology and Applications, ICFICE 2013
Pages89-100
Number of pages12
DOIs
Publication statusPublished - 2013
Event2013 International Conference on Future Information and Communication Engineering, ICFICE 2013 - Shenyang, China
Duration: 24 Jun 201326 Jun 2013

Publication series

NameLecture Notes in Electrical Engineering
Volume235 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference2013 International Conference on Future Information and Communication Engineering, ICFICE 2013
Country/TerritoryChina
CityShenyang
Period24/06/1326/06/13

Keywords

  • Helicopter dynamics
  • Kalman filter
  • MIMO systems
  • Model predictive control
  • Nonlinear systems

Fingerprint

Dive into the research topics of 'Robust observer based model predictive control of a 3-DOF helicopter system'. Together they form a unique fingerprint.

Cite this