Robust Intelligent Control of Second Order Nonlinear System with Application to MEMS Gyroscopes

Rui Zhang, Hai Wang, Fangze Zuo, Bin Xu

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

Abstract

For the second order nonlinear system, a robust intelligent tracking control scheme is addressed in the presence of system uncertainties. Considering the dynamics with system uncertainties, the robust neural control is designed to obtain robust tracking performance, where a switching mechanism is employed to achieve the coordination between robust design and composite neural learning. To reduce the sliding mode chattering of terminal sliding mode controller (TSMC), the adaptive recursive integral TSMC (ARTSMC) is proposed, where the parameters of ARTSMC are online estimated by updating laws. Furthermore, the proposed method is applied to the dynamics of MEMS gyroscopes and simulations results are presented to verify that more accurate system tracking can be obtained.

Original languageEnglish
Title of host publication2023 8th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages261-266
Number of pages6
ISBN (Electronic)9798350300178
DOIs
StatePublished - 2023
Event8th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2023 - Sanya, China
Duration: 8 Jul 202310 Jul 2023

Publication series

Name2023 8th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2023

Conference

Conference8th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2023
Country/TerritoryChina
CitySanya
Period8/07/2310/07/23

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