A novel robust control strategy with adaptive law for angle tracking of a Two-Degree-of-Freedom helicopter

This paper presents a dynamic model of a Two-Degree-of-Freedom helicopter using Lagrange’s energy formulation with holonomic constraints. A novel control approach based on Udwadia-Kalaba theory ensures angle tracking, while an adaptive robust controller with a leakage-type adaptive law addresses system uncertainties, such as friction and air resistance. The controller optimizes performance and minimizes control costs through flexible parameter selection. Simulations demonstrate its superior precision and efficiency compared to PD and nominal control methods, achieving accurate pitch and yaw tracking with reduced effort. This approach enhances classical control theory and offers applications in robotics and automation.

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Publication Details

Journal
Journal of Vibration and Control
Published
2025-06-27
DOI
https://doi.org/10.1177/10775463251355299
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

A novel robust control strategy with adaptive law for angle tracking of a Two-Degree-of-Freedom helicopter

Han Zhao, Yinfei Zhu, Demeng Qian
Journal of Vibration and Control
Adaptive Control of Nonlinear Systems
article

A novel robust control strategy with adaptive law for angle tracking of a Two-Degree-of-Freedom helicopter

Han Zhao, Yinfei Zhu, Demeng Qian
article en

Abstract

This paper presents a dynamic model of a Two-Degree-of-Freedom helicopter using Lagrange’s energy formulation with holonomic constraints. A novel control approach based on Udwadia-Kalaba theory ensures angle tracking, while an adaptive robust controller with a leakage-type adaptive law addresses system uncertainties, such as friction and air resistance. The controller optimizes performance and minimizes control costs through flexible parameter selection. Simulations demonstrate its superior precision and efficiency compared to PD and nominal control methods, achieving accurate pitch and yaw tracking with reduced effort. This approach enhances classical control theory and offers applications in robotics and automation.

Journal of Vibration and Control
Hefei University of Technology (CN), Anhui University of Science and Technology (CN), Swinburne University of Technology (AU)
Openalex Percentile: Top 83%
Adaptive Control of Nonlinear Systems
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