Order Reduction Approach to Velocity Sensorless Performance Recovery PD-type Attitude Stabilizer for 2-DOF Helicopter Applications

Seok Kyoon Kim, Kwan Soo Kim, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

This study exhibits an order reduction output-feedback attitude stabilization scheme for 2-degree-of-freedom (2-DOF) helicopters by considering system nonlinearity and parameter variations in the controller and observer design tasks. As the first merit, the proposed observer for the angular velocity contains the disturbance estimation mechanism as a subsystem assisting the main estimator, which is independent of the system parameter information. As the second advantage, the resultant observer renders it possible to design an improved proportional-derivative-type controller that includes the active damping term and nonlinearly structured design parameters, reducing the closed-loop system order to 1. The Quanser 2-DOF helicopter system experimentally validates the practical merit of the proposed technique.

Original languageEnglish
JournalIEEE Transactions on Industrial Informatics
DOIs
Publication statusAccepted/In press - 2022

Bibliographical note

Funding Information:
This work was supported in part by the National Research Foundation of Korea (NRF), in part by the Korea Government (Ministry of Science and ICT) under Grant NRF-2021R1C1C1004380, in part by the Basic Science Research Program through the NRF funded by the Ministry of Education under Grant 2018R1A6A1A03026005, and in part by the NRF funded by the Korea Government (Ministry of Science and ICT) under Grant NRF- 2020R1A2C1005449. Paper no. TII-21-3993.

Publisher Copyright:
IEEE

Keywords

  • 2-DOF helicopter
  • Angular velocity
  • Angular velocity observer
  • Attitude control
  • Convergence
  • Cutoff frequency
  • Helicopters
  • Observers
  • Order reduction
  • Performance recovery
  • Task analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering

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