Dynamic Decoupling Control Optimization for a Small-Scale Unmanned Helicopter

This article presents design and optimization results from an implementation of a novel disturbance decoupling control strategy for a small-scale unmanned helicopter. Such a strategy is based on the active disturbance rejection control (ADRC) method. It offers an appealing alternative to existing co...

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Main Authors: Rui Ma, Li Ding, Hongtao Wu
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Journal of Robotics
Online Access:http://dx.doi.org/10.1155/2018/9897684
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author Rui Ma
Li Ding
Hongtao Wu
author_facet Rui Ma
Li Ding
Hongtao Wu
author_sort Rui Ma
collection DOAJ
description This article presents design and optimization results from an implementation of a novel disturbance decoupling control strategy for a small-scale unmanned helicopter. Such a strategy is based on the active disturbance rejection control (ADRC) method. It offers an appealing alternative to existing control approaches for helicopters by combining decoupling and disturbance rejection without a detailed plant dynamics. The tuning of the control system is formulated as a function optimization problem to capture various design considerations. In comparison with several different iterative search algorithms, an artificial bee colony (ABC) algorithm is selected to obtain the optimal control parameters. For a fair comparison of control performance, a well-designed LQG controller is also optimized by the proposed method. Comparison results from an attitude tracking simulation against wind disturbance show the significant advantages of the proposed optimization control for this control application.
format Article
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institution Kabale University
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language English
publishDate 2018-01-01
publisher Wiley
record_format Article
series Journal of Robotics
spelling doaj-art-4660125730d74bfeafd03487aa4e21402025-02-03T01:21:42ZengWileyJournal of Robotics1687-96001687-96192018-01-01201810.1155/2018/98976849897684Dynamic Decoupling Control Optimization for a Small-Scale Unmanned HelicopterRui Ma0Li Ding1Hongtao Wu2College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaCollege of Mechanical Engineering, Jiangsu University of Technology, Changzhou 213001, ChinaCollege of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaThis article presents design and optimization results from an implementation of a novel disturbance decoupling control strategy for a small-scale unmanned helicopter. Such a strategy is based on the active disturbance rejection control (ADRC) method. It offers an appealing alternative to existing control approaches for helicopters by combining decoupling and disturbance rejection without a detailed plant dynamics. The tuning of the control system is formulated as a function optimization problem to capture various design considerations. In comparison with several different iterative search algorithms, an artificial bee colony (ABC) algorithm is selected to obtain the optimal control parameters. For a fair comparison of control performance, a well-designed LQG controller is also optimized by the proposed method. Comparison results from an attitude tracking simulation against wind disturbance show the significant advantages of the proposed optimization control for this control application.http://dx.doi.org/10.1155/2018/9897684
spellingShingle Rui Ma
Li Ding
Hongtao Wu
Dynamic Decoupling Control Optimization for a Small-Scale Unmanned Helicopter
Journal of Robotics
title Dynamic Decoupling Control Optimization for a Small-Scale Unmanned Helicopter
title_full Dynamic Decoupling Control Optimization for a Small-Scale Unmanned Helicopter
title_fullStr Dynamic Decoupling Control Optimization for a Small-Scale Unmanned Helicopter
title_full_unstemmed Dynamic Decoupling Control Optimization for a Small-Scale Unmanned Helicopter
title_short Dynamic Decoupling Control Optimization for a Small-Scale Unmanned Helicopter
title_sort dynamic decoupling control optimization for a small scale unmanned helicopter
url http://dx.doi.org/10.1155/2018/9897684
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