Twin rotor system modelling de-coupling and optimal control

Wen, Peng and Li, Yan (2011) Twin rotor system modelling de-coupling and optimal control. In: ICMA 2011: IEEE International Conference on Mechatronics and Automation, 7-10 Aug 2011, Beijing, China.

[img] PDF (Documentation)
ICMA_Table_of_Contents.pdf

Download (621Kb)

Abstract

This paper proposes a new method to model, de-couple and implement a optimal control for a twin rotor system. We first model and decouple this twin rotor system into two independent single input single output (SISO) systems, and consider the coupling effects as the changes of system parameters. For each of the SISO system, we design an optimal robust controller independently, then join them together. As these optimal controllers can tolerate up to 50% changes in system parameters, the joined system can tolerate the coupling effects and keep its original SISO performance. This new method is evaluated and verified in simulation.


Statistics for USQ ePrint 19945
Statistics for this ePrint Item
Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to published version due to publisher's copyright restrictions.
Depositing User: Dr Paul Wen
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 09 Apr 2012 02:51
Last Modified: 11 Jul 2014 07:00
Uncontrolled Keywords: twin rotor system; modeling; de-coupling; robust control; optimal control
Fields of Research (FOR2008): 09 Engineering > 0901 Aerospace Engineering > 090101 Aerodynamics (excl. Hypersonic Aerodynamics)
09 Engineering > 0906 Electrical and Electronic Engineering > 090602 Control Systems, Robotics and Automation
09 Engineering > 0901 Aerospace Engineering > 090104 Aircraft Performance and Flight Control Systems
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: doi: 10.1109/ICMA.2011.5986259
URI: http://eprints.usq.edu.au/id/eprint/19945

Actions (login required)

View Item Archive Repository Staff Only