| A hybrid model of a subminiature helicopter in horizontal turn |
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| 作者姓名： | 陈丽 Gong Zhenbang Liu Liang |
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| 作者单位： | [1]Institute of Aerospace Science ＆ Technology, Shanghai Jiaotong University, Shanghai200030,P.R. China [2]School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, P.R. China） |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | A hybrid model of a subminiature helicopter in horizontal turn is presented. This model is based on a mechanism model and its compensated neural network （NN）. First, the nonlinear dynamics of a sub-miniature helicopter is established. Through the linearization of the nonlinear dynamics on a trim point, the linear time-invariant mechanism model in horizontal turn is obtained. Then a diagonal recursive neural network is used to compensate the model error between the mechanism model and the nonlinear model, thus the hybrid model of a subminiature helicopter in horizontal turn is achieved. Simulation results show that the hybrid model has higher accuracy than the mechanism model and the obtained compensated-NN has good generalization capability.
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| 关 键 词： | 直升飞机 水平移动 技术性能 杂合模型 |
A hybrid model of a subminiature helicopter in horizontal turn |
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| Chen Li,Gong Zhenbang,Liu Liang.A hybrid model of a subminiature helicopter in horizontal turn[J].High Technology Letters,2007,13(2):113-118. |
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| Authors: | Chen Li Gong Zhenbang Liu Liang |
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| Abstract: | A hybrid model of a subminiature helicopter in horizontal turn is presented. This model is based on a mechanism model and its compensated neural network (NN). First, the nonlinear dynamics of a subminiature helicopter is established. Through the linearization of the nonlinear dynamics on a trim point, the linear time-invariant mechanism model in horizontal turn is obtained. Then a diagonal recursive neural network is used to compensate the model error between the mechanism model and the nonlinear model, thus the hybrid model of a subminiature helicopter in horizontal turn is achieved. Simulation results show that the hybrid model has higher accuracy than the mechanism model and the obtained compensated-NN has good generalization capability. |
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| Keywords: | subminiature helicopter horizontal turn mechanism model compensated neural network hybrid model |
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