Title :
The Identification of Unmanned Helicopter Based on Improved Evolutionary Strategy
Author :
Li, Guangwen ; Jia, Qiuling ; Shi, Jingping
Author_Institution :
Coll. of Autom., Northwestern Polytech. Univ., Xi´´an, China
Abstract :
To design a reliable high-performance fight control system, an accurate model of the helicopter is required. While the movement of the helicopter is very complicated, it is very difficult to identify the complete model of helicopter by the traditional methods. In this paper, an identifying method based on improved evolutionary strategy is proposed. In this method, the problem of identification is transformed into an optimization that can be solved by heuristic algorithm. To improve the searching precision, a novel evolutionary strategy based on feedback and sharing scheme is adopted. In order to test the identifying method based on evolutionary strategy, an identification of a kind of unmanned helicopter´s model is done. The result shows that the accurate complete model can be obtained by the identifying method proposed in this paper.
Keywords :
aircraft control; evolutionary computation; feedback; helicopters; identification; optimisation; remotely operated vehicles; search problems; evolutionary strategy; feedback; fight control system; heuristic algorithm; optimization; searching precision; unmanned helicopter identification; Cost function; Design automation; Educational institutions; Feedback; Genetic mutations; Helicopters; Least squares methods; Mathematical model; Optimization methods; Testing;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.58