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Geometric Attitude Tracking Control for Rigid Body Based on a Novel Attitude Error Dynamic Model on SO(3)

  • Yaobang Ye
  • , Zongyu Zuo*
  • , Junan Wang
  • *Corresponding author for this work
  • Beihang University

Research output: Contribution to journal › Article › peer-review

Abstract

This paper provides some new results for attitude tracking control for rigid body. In order to avoid the complexity and ambiguity associated with other attitude representations (such as Euler angles or quaternions), the attitude dynamics and the proposed control system are represented globally on special orthogonal groups. Based on a special attitude error, we construct a novel attitude error dynamic model, and develop a baseline controller which ensures the asymptotic attitude tracking almost globally in the absence of disturbances and uncertainties. To account for external disturbances and parametric uncertainties, adaptive laws are introduced to estimate the unknown bound of the equivalent disturbance as well as the inertia matrix of the rigid body. Then, an almost global adaptive attitude tracking controller is developed to track a given desired attitude trajectory without requiring the exact knowledge of inertia matrix, while guaranteeing boundedness of tracking errors. Finally, both simulation and experimental results are presented to demonstrate the efficiency of the proposed controllers. Note to Practitioners - Attitude tracking problem is very common in many engineering applications, especially for satellites. This paper presents a new methodology for attitude tracking control of a rigid body subject to external disturbances and parametric uncertainties. Employing a novel attitude error dynamic model, we present a new geometric attitude tracking controller based on the left attitude error and the left velocity error. The proposed controller has a simple structure and can effectively reduce the energy consumption, which may have wide application prospects.

Original languageEnglish
Pages (from-to)7436-7451
Number of pages16
JournalIEEE Transactions on Automation Science and Engineering
Volume21
Issue number4
DOIs
StatePublished - 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Attitude tracking
  • SO(3)
  • adaptive control
  • geometric control

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