1. Robust adaptive dynamic surface control for hypersonic vehicles
- Author
-
Hector Gutierrez, Yuchun Bi, Yifei Yang, Nai-Bao He, Chang-Sheng Jiang, and Gao Qian
- Subjects
0209 industrial biotechnology ,Hypersonic speed ,Computer science ,Applied Mathematics ,Mechanical Engineering ,Aerospace Engineering ,Ocean Engineering ,02 engineering and technology ,Attitude control ,Nonlinear system ,020901 industrial engineering & automation ,Control and Systems Engineering ,Control theory ,Radial basis function neural ,Robustness (computer science) ,Backstepping ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Electrical and Electronic Engineering - Abstract
An adaptive dynamic surface control (DSC) scheme is proposed for the multi-input multi-output attitude control of near-space hypersonic vehicles (NHV). The proposed control strategy can improve the control performance of NHV despite uncertainties and external disturbances. The proposed controller combines dynamic surface control and radial basis function neural network (RBFNN) and is designed to control the longitudinal dynamics of NHV. The DSC technique is used to handle the problem of “explosion of complexity” inherent to the conventional backstepping method. RBFNN is used to approximate the unknown nonlinear function, and a robustness component is introduced in the controller to cancel the influence of compound disturbance and improve robustness and adaptation of the system. Simulation results show that the proposed strategy possesses good robustness and fast response.
- Published
- 2018