Dynamic Surface Tracking Control for Nonlinear Constraints

An adaptive control scheme based on dynamic surface control (DSC), and intelligent control techniques is developed for a 3-DOF helicopter with unknown disturbance and asymmetric saturation. The reconstructed dynamic neural network (NN) is established to compensate for nonlinear terms in real-time. A...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 2868; no. 1; pp. 12027 - 12038
Main Author Li, Wang
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.10.2024
Subjects
Adaptive control
Adaptive systems
asymmetric saturation
Control stability
DSC
external disturbance
Helicopter control
Neural networks
Nonlinear control
nonlinear system
Nonlinearity
Real time
Robust control
Surface stability
Tracking control
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Summary:An adaptive control scheme based on dynamic surface control (DSC), and intelligent control techniques is developed for a 3-DOF helicopter with unknown disturbance and asymmetric saturation. The reconstructed dynamic neural network (NN) is established to compensate for nonlinear terms in real-time. A designed smooth nonlinear sigmoid function is used to model saturation nonlinearity. The combination of dynamic surface control with adaptive intelligent control techniques resolves and improves the tracking and robust performance of the system. The stability and ultimately bound of all signals of the controlled system are demonstrated by theoretical analysis. Numerical results prove the feasibility of the presented control scheme.
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ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2868/1/012027