Time optimal and robust control of twin rotor system

Lu, Te-Wei and Wen, Peng ORCID: https://orcid.org/0000-0003-0939-9145 (2007) Time optimal and robust control of twin rotor system. In: ICCA 2007: 6th IEEE International Conference on Control and Automation, 30 May-1 Jun 2007, Guangzhou, China.


Abstract

This paper presents a new method to implement a time optimal control for a twin rotor MIMO system. We first decouple this MIMO system into two independent SISO systems, and consider the coupling effects as disturbances or the change of system parameters. For each of the SISO system, we design a time optimal robust controller, then join them together. As these optimal controllers can tolerate 50% changes in system parameters, the joined system can tolerate the coupling effects and keep its original SISO performance. This new method is evaluated in both simulations using Simulink.


Statistics for USQ ePrint 3870
Statistics for this ePrint Item
Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013)
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering (Up to 30 Jun 2013)
Date Deposited: 22 Feb 2008 00:16
Last Modified: 02 Jul 2013 22:58
Uncontrolled Keywords: twin rotor; TRMS system; PID controller; robust control; DC motors; MIMO; aircraft control
Fields of Research (2008): 09 Engineering > 0913 Mechanical Engineering > 091302 Automation and Control Engineering
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080108 Neural, Evolutionary and Fuzzy Computation
09 Engineering > 0901 Aerospace Engineering > 090104 Aircraft Performance and Flight Control Systems
Fields of Research (2020): 40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400799 Control engineering, mechatronics and robotics not elsewhere classified
46 INFORMATION AND COMPUTING SCIENCES > 4699 Other information and computing sciences > 469999 Other information and computing sciences not elsewhere classified
40 ENGINEERING > 4001 Aerospace engineering > 400103 Aircraft performance and flight control systems
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: https://doi.org/10.1109/ICCA.2007.4376479
URI: http://eprints.usq.edu.au/id/eprint/3870

Actions (login required)

View Item Archive Repository Staff Only