Decoupling Control Method Based on Neural Network for Missiles |
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Authors: | ZHAN Li LUO Xi-shuang and ZHANG Tian-qiao |
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Affiliation: | 1. School of Mechatronics Engineering, Beijing Institute of Technology, Beijng 100081, China;Department of Information and Communication Engineering, Beijing Information Technology Institute, Beijing 100101, China 2. School of Mechatronics Engineering, Beijing Institute of Technology, Beijng 100081, China |
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Abstract: | In order to make the static state feedback nonlinear decoupling control law for a kind of missile to be easy for implementation in practice, an improvement is discussed. The improvement method is to introduce a BP neural network to approximate the decoupling control laws which are designed for different aerodynamic characteristic points, so a new decoupling control law based on BP neural network is produced after the network training. The simulation results on an example illustrate the approach obtained feasible and effective. |
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Keywords: | decoupling control relative degree decoupling matrix Lie derivative BP neural network |
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