A Fixed-Time Convergence Adaptive Fast Sliding Mode Guidance Law with Angle Constraint

Yuan Liu, Zhen Yang, Weiyu Huo, Yupeng He, Deyun Zhou

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

Abstract

In this paper, a fixed-time convergence adaptive fast sliding mode guidance law with line-of-sight (LOS) angle constraint is designed for the terminal guidance problem of large maneuvering targets in the air. Firstly, the three-dimensional (3D) spatial missile-target relative equations of motion are constructed, and the terminal guidance model with LOS angle constraints is established. Secondly, a novel fixed-time nonsingular terminal sliding mode surface is designed, and by designing a fast convergence law, while avoiding system singularity and reducing end jitter, the LOS angle and angular rate of the missile are guaranteed to converge quickly to the desired value in a fixed time, and have the advantage that the upper bound of the convergence time can be artificially set. In addition, the interference observer is constructed using the good approximation property of RBF neural network for continuous functions, which provides an effective estimation of the unknown acceleration of the intercepted target, and increases the self-adaptive capability of the system. Finally, the effectiveness and superiority of the designed guidance law is verified by simulation.

Original languageEnglish
Title of host publication2023 11th International Conference on Control, Mechatronics and Automation, ICCMA 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages380-385
Number of pages6
ISBN (Electronic)9798350315684
DOIs
StatePublished - 2023
Event11th International Conference on Control, Mechatronics and Automation, ICCMA 2023 - Hybrid, Grimstad, Norway
Duration: 1 Nov 20233 Nov 2023

Publication series

Name2023 11th International Conference on Control, Mechatronics and Automation, ICCMA 2023

Conference

Conference11th International Conference on Control, Mechatronics and Automation, ICCMA 2023
Country/TerritoryNorway
CityHybrid, Grimstad
Period1/11/233/11/23

Keywords

  • adaptive sliding mode
  • angular constraint
  • fixed time convergence
  • neural network observer
  • terminal guidance

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