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《Journal of Beijing University of Aeronautics and Astronautics》 2007-11
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Artificial-neural-network adaptive control of compound actuator

Wen Zhaodong Wang Zhanlin Qi Xiaoye (School of Automation Science and Electrical Engineering,Beijing University of Aeronautics and Astronautics,Beijing 100083,China)Bao Lina(Department of Integration Engineering,China Academy of Space Technology,Beijing 100086,China)  
To solve time-varying and nonlinear problem of the compound actuator,the neural-network adaptive control principle was proposed.Establish the dynamic model of compound actuator using nonlinear auto-regressive moving average model,multi-layer perception neural network was used to identify the nonlinear model.The controller was based on the theory of generalized inverse and the network weights were deduced with respect to the error between the object and the identified model.The self-turning control was realized in combination with control-algorithm modify online.The simulation results show that this control scheme has good effect on the control of compound actuator under the model having time-varying and nonlinear character.
【Fund】: 国防空军预研项目(102010501)
【CateGory Index】: TP183;V227
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