Pitch angle and altitude control for unmanned helicopter based on new approximation-free control

This article introduces an enhanced non-approximated control technique for the pitch and altitude control systems of unmanned helicopters. It takes into account unpredictable external disturbances and system dynamics. The integration of prescribed performance control into unmanned helicopter systems significantly improves the transient and steady-state response capabilities. This approach avoids the computational complexities often associated with neural networks and fuzzy control methods. By avoiding the need for function approximation, which can introduce inaccuracies and computational overhead, the controller design process is streamlined. This method's simplicity and ability to handle unknown disturbances make it highly suitable for real-world implementation, where robustness and efficiency are paramount. Finally, simulations are conducted to showcase the improved transient and steady-state response capabilities achieved by the proposed approach.

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Institutions

Publication Details

Journal
Review of Scientific Instruments
Published
2024-11-01
DOI
https://doi.org/10.1063/5.0219636
Citations
1
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.33

Funders

Controls
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article

Pitch angle and altitude control for unmanned helicopter based on new approximation-free control

Haixiang Jiang, Hao Yang, Jian Cen, Yuji Chen et al.
1 citations
Review of Scientific Instruments
Adaptive Control of Nonlinear Systems
0.33
article

Pitch angle and altitude control for unmanned helicopter based on new approximation-free control

Haixiang Jiang, Hao Yang, Jian Cen, Yuji Chen, Xinpan Gou
article en
1 citations

Abstract

This article introduces an enhanced non-approximated control technique for the pitch and altitude control systems of unmanned helicopters. It takes into account unpredictable external disturbances and system dynamics. The integration of prescribed performance control into unmanned helicopter systems significantly improves the transient and steady-state response capabilities. This approach avoids the computational complexities often associated with neural networks and fuzzy control methods. By avoiding the need for function approximation, which can introduce inaccuracies and computational overhead, the controller design process is streamlined. This method's simplicity and ability to handle unknown disturbances make it highly suitable for real-world implementation, where robustness and efficiency are paramount. Finally, simulations are conducted to showcase the improved transient and steady-state response capabilities achieved by the proposed approach.

Review of Scientific InstrumentsVol. 95(11)
Guangdong Polytechnic Normal University (CN), South China University of Technology (CN)
Natural Science Foundation of Guangdong Province
Affordable and clean energy
Openalex Percentile: Top 39%
Adaptive Control of Nonlinear Systems
0.33
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