A Dynamic Model and Control Method for a Two-Axis Inertially Stabilized Platform
点击次数:
所属单位:北京航空航天大学
发表刊物:IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
项目来源:北京市科技重点项目
关键字:Adaptive radial basis function neural network (RBFNN); back-stepping; disturbances;
摘要:To realize high-performance control for a two-axis inertially stabilized platform (ISP), a nonlinear dynamic model based on the geographic coordinate and a compound control method based on the back-stepping sliding mode control and adaptive radial basis function neural network (RBFNN) are proposed. Compared with the traditional dynamic model based on the inertial coordinate, the nonlinear dynamic model based on the geographic coordinate constructs the direct relationship among the control inputs and criteria of the ISP. Moreover, the back-stepping sliding mode control method is proposed to han
合写作者: Wusheng,Chou, Xusheng,Lei, Fei,Dong
论文类型:基础研究
文献类型:期刊
是否译文:否
发表时间:2016-09-12
发布期刊链接:
http://xueshu.baidu.com/s?wd=paperuri%3A%28ec669aa4c06863836ca146b150950025%29&filter=sc_long_sign&tn=SE_xueshusource_2kduw22v&sc_vurl=http%3A%2F%2Fieeexplore.ieee.org%2Fdocument%2F7564417%2F&ie=utf-8