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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:DiXiaoGuang,HanFang,YaoYu.Attitude control allocation strategy of high altitude airship based on synthetic performance optimization[J].Journal of Harbin Institute Of Technology(New Series),2009,16(6):746-750.DOI:10.11916/j.issn.1005-9113.2009.06.002.
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Attitude control allocation strategy of high altitude airship based on synthetic performance optimization
Author NameAffiliation
DiXiaoGuang Control and Simulation Center, Harbin Institute of Technology, Harbin 150080, China 
HanFang Control and Simulation Center, Harbin Institute of Technology, Harbin 150080, China 
YaoYu Control and Simulation Center, Harbin Institute of Technology, Harbin 150080, China 
Abstract:
This paper presents a method for solving the attitude control problem of high altitude airship (HAA) with aerodynamic fin and vectored thruster control. The algorithm is based on the synthetic optimization of dynamic performance and energy consumption of airship. Firstly, according to the system overall configuration, the dynamic model of HAA was established and the HAA linearized model of longitudinal plane motion was obtained. Secondly, using the classic PID control theory, the HAA attitude control system was designed. Thirdly, through analyzing the dynamic performance of airship with fin or vectored thruster control, the synthetic performance index function with different weighting functions was determined. By means of optimizing the obtained performance index function, the attitude control of high altitude airship with good dynamic performance and low energy consumption was achieved. Finally, attitude control allocation strategy was designed for the airship station keeping at an altitude of 22 km. The simulation experiment proved the validity of the proposed algorithm.
Key words:  high altitude airship  attitude control  synthetic performance optimization  control strategy
DOI:10.11916/j.issn.1005-9113.2009.06.002
Clc Number:V274
Fund:

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