Composite Robust Roll Autopilot Design with UDE Observer

Jing Yang, Yichen Cheng, Wei Wang*, Baokui Geng, Zhengyu Su

*Corresponding author for this work

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

Abstract

The aerodynamic parameters of tactical missiles have a high-frequency nonlinear influenced by the varying angle-of-attack, altitude, and flight velocity during the phase of large span flight, which seriously impacts the roll channel stability of tactical missiles. In favor of input-output linearization (IOL) controller and uncertainty and disturbance estimation (UDE) technology, the system's nonlinearity can be regarded as a part of uncertainty, and an observer is designed to observe the output derivative of the system, which simplifies the requirements of the model. In addition, a method of actuator dynamic compensation is proposed after considering the second-order actuator in the design of roll autopilot. The roll autopilot designed based on IOL + UDE method has the robustness and the effectiveness of actuator dynamic compensation, which is proved in the simulation results.

Original languageEnglish
Title of host publicationAdvances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control
EditorsLiang Yan, Haibin Duan, Yimin Deng, Liang Yan
PublisherSpringer Science and Business Media Deutschland GmbH
Pages2688-2698
Number of pages11
ISBN (Print)9789811966125
DOIs
Publication statusPublished - 2023
EventInternational Conference on Guidance, Navigation and Control, ICGNC 2022 - Harbin, China
Duration: 5 Aug 20227 Aug 2022

Publication series

NameLecture Notes in Electrical Engineering
Volume845 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Guidance, Navigation and Control, ICGNC 2022
Country/TerritoryChina
CityHarbin
Period5/08/227/08/22

Keywords

  • Actuator dynamic compensation
  • Input-output linearization
  • Robust control
  • Uncertainty and disturbance estimation

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