Dynamical Model Identification for a Small-Scale Unmanned Helicopter Using an Integrated Approach
This article presents an integrated approach for the parameter identification of a small-scale unmanned helicopter. With the flight experiment data collection and preprocessing, a hybrid identified algorithm combining the improved artificial bee colony algorithm and prediction error method is propos...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2019/8407013 |
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| _version_ | 1832551025433640960 |
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| author | Rui Ma Li Ding Kailei Liu Hongtao Wu |
| author_facet | Rui Ma Li Ding Kailei Liu Hongtao Wu |
| author_sort | Rui Ma |
| collection | DOAJ |
| description | This article presents an integrated approach for the parameter identification of a small-scale unmanned helicopter. With the flight experiment data collection and preprocessing, a hybrid identified algorithm combining the improved artificial bee colony algorithm and prediction error method is proposed to obtain the unknown dynamical parameters of the linear model. The proposed algorithm is valid to use thanks to an adaptive search equation, a novel probability-scaling method, and a chaotic operator and has a good performance in search speed and quality. Afterwards, we design a wind tunnel test to modify the main rotor time constant of the identified model. The identified accuracy and feasibility of the proposed approach are verified by making a time-domain comparison with three other algorithms. Results show that the dynamical characteristics of the helicopter can be determined accurately by the identified model. And the proposed approach is propitious to enhance the reliability and availability of the identified dynamical model. |
| format | Article |
| id | doaj-art-19386ffe032b432d8e291decc0b25a6a |
| institution | Kabale University |
| issn | 1687-5966 1687-5974 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-19386ffe032b432d8e291decc0b25a6a2025-02-03T06:05:08ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742019-01-01201910.1155/2019/84070138407013Dynamical Model Identification for a Small-Scale Unmanned Helicopter Using an Integrated ApproachRui Ma0Li Ding1Kailei Liu2Hongtao Wu3College of Mechanical Engineering, Jiangsu University of Technology, No. 1801 Zhongwu Street, Changzhou, ChinaCollege of Mechanical Engineering, Jiangsu University of Technology, No. 1801 Zhongwu Street, Changzhou, ChinaCollege of Mechanical Engineering, Jiangsu University of Technology, No. 1801 Zhongwu Street, Changzhou, ChinaCollege of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, No. 29 Yudao Street, Nanjing, ChinaThis article presents an integrated approach for the parameter identification of a small-scale unmanned helicopter. With the flight experiment data collection and preprocessing, a hybrid identified algorithm combining the improved artificial bee colony algorithm and prediction error method is proposed to obtain the unknown dynamical parameters of the linear model. The proposed algorithm is valid to use thanks to an adaptive search equation, a novel probability-scaling method, and a chaotic operator and has a good performance in search speed and quality. Afterwards, we design a wind tunnel test to modify the main rotor time constant of the identified model. The identified accuracy and feasibility of the proposed approach are verified by making a time-domain comparison with three other algorithms. Results show that the dynamical characteristics of the helicopter can be determined accurately by the identified model. And the proposed approach is propitious to enhance the reliability and availability of the identified dynamical model.http://dx.doi.org/10.1155/2019/8407013 |
| spellingShingle | Rui Ma Li Ding Kailei Liu Hongtao Wu Dynamical Model Identification for a Small-Scale Unmanned Helicopter Using an Integrated Approach International Journal of Aerospace Engineering |
| title | Dynamical Model Identification for a Small-Scale Unmanned Helicopter Using an Integrated Approach |
| title_full | Dynamical Model Identification for a Small-Scale Unmanned Helicopter Using an Integrated Approach |
| title_fullStr | Dynamical Model Identification for a Small-Scale Unmanned Helicopter Using an Integrated Approach |
| title_full_unstemmed | Dynamical Model Identification for a Small-Scale Unmanned Helicopter Using an Integrated Approach |
| title_short | Dynamical Model Identification for a Small-Scale Unmanned Helicopter Using an Integrated Approach |
| title_sort | dynamical model identification for a small scale unmanned helicopter using an integrated approach |
| url | http://dx.doi.org/10.1155/2019/8407013 |
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