Typical adaptive neural control for hypersonic vehicle based on higher-order filters

• 作者: LI Rui ZHAO Hewei
• 来源期刊: 系统工程与电子技术（英文版）
• 年，卷（期）: 2020,（5）
• 所属期刊栏目: CONTROL THEORY AND APPLICATION
• 页码范围: 1031-1040
• 页数: 10页
• 语种: 英文
• DOI: 10.23919/JSEE.2020.000077

摘要

A typical adaptive neural control methodology is used for the rigid body model of the hypersonic vehicle.The rigid body model is divided into the altitude subsystem and the velocity subsystem.The proportional integral differential (PID) controller is introduced to control the velocity track.The backstepping design is applied for constructing the controllers for the altitude subsystem.To avoid the explosion of differentiation from backstepping,the higher-order filter dynamic is used for replacing the virtual controller in the backstepping design steps.In the design procedure,the radial basis function (RBF) neural network is investigated to approximate the unknown nonlinear functions in the system dynamic of the hypersonic vehicle.The simulations show the effectiveness of the design method.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	ZHAO Hewei		1	0	0.0	0.0
2	LI Rui		1	0	0.0	0.0