点击次数：
所属单位：北京航空航天大学
教研室：北京市科技重点项目
发表刊物：ISA TRANSACTIONS
关键字：Inertially stabilized platform, Adaptive RBFNN, ESO, Nonlinear dynamic model Disturbances
摘要：Due to the nonlinearity and time variation of a two-axis inertially stabilized platform (ISP) system, the conventional feedback control cannot be utilized directly. To realize the control performance with fast dynamic response and high stabilization precision, the dynamic model of the ISP system is expected to match the ideal model which satisfies the desired control performance. Therefore, a composite control method based on the adaptive radial basis function neural network (RBFNN) feedback control and the extended state observer (ESO), is proposed for ISP. The adaptive RBFNN is proposed to g
合写作者： Fei Dong, Ying Zou,Xusheng Lei
论文类型：基础研究
文献类型：期刊
是否译文：否
发表时间：2015-10-02
发布期刊链接：http://xueshu.baidu.com/s?wd=paperuri%3A%287c97385b9b2b0784c16b0d6f12bd126b%29&filter=sc_long_sign&tn=SE_xueshusource_2kduw22v&sc_vurl=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0