Novel auxiliary error compensation design for the adaptive neural control of a constrained flexible air-breathing hypersonic vehicle

2016 ◽  
Vol 171 ◽  
pp. 313-324 ◽  
Author(s):  
Xiangwei Bu ◽  
Xiaoyan Wu ◽  
Zhen Ma ◽  
Rui Zhang ◽  
Jiaqi Huang
Keyword(s):  
Error Compensation ◽  
Neural Control ◽  
Hypersonic Vehicle ◽  
Adaptive Neural Control ◽  
Air Breathing ◽  
Compensation Design

A new adaptive neural control scheme for hypersonic vehicle with actuators multiple constraints

2020 ◽  
Vol 100 (4) ◽  
pp. 3529-3553
Author(s):  
Changxin Luo ◽  
Humin Lei ◽  
Jiong Li ◽  
Chijun Zhou
Keyword(s):  
Neural Control ◽  
Hypersonic Vehicle ◽  
Multiple Constraints ◽  
Adaptive Neural Control ◽  
Control Scheme

Adaptive Neural Control of a Hypersonic Vehicle in Discrete Time

2013 ◽  
Vol 73 (1-4) ◽  
pp. 219-231 ◽  
Author(s):  
Bin Xu ◽  
Danwei Wang ◽  
Han Wang ◽  
Senqiang Zhu
Keyword(s):  
Discrete Time ◽  
Neural Control ◽  
Hypersonic Vehicle ◽  
Adaptive Neural Control

Novel prescribed performance neural control of a flexible air-breathing hypersonic vehicle with unknown initial errors

2015 ◽  
Vol 59 ◽  
pp. 149-159 ◽  
Author(s):  
Xiangwei Bu ◽  
Xiaoyan Wu ◽  
Fujing Zhu ◽  
Jiaqi Huang ◽  
Zhen Ma ◽  
...  
Keyword(s):  
Neural Control ◽  
Hypersonic Vehicle ◽  
Air Breathing ◽  
Prescribed Performance ◽  
Initial Errors

Nonsingular direct neural control of air-breathing hypersonic vehicle via back-stepping

2015 ◽  
Vol 153 ◽  
pp. 164-173 ◽  
Author(s):  
Xiangwei Bu ◽  
Xiaoyan Wu ◽  
Zhen Ma ◽  
Rui Zhang
Keyword(s):  
Neural Control ◽  
Hypersonic Vehicle ◽  
Air Breathing

scholarly journals Constrained Adaptive Neural Control for Air-Breathing Hypersonic Vehicles without Backstepping

2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Shili Tan ◽  
Humin Lei ◽  
Pengfei Wang
Keyword(s):  
Neural Control ◽  
Control Structure ◽  
Parameter Tuning ◽  
Auxiliary System ◽  
Hypersonic Vehicles ◽  
Input Constraints ◽  
Adaptive Neural Control ◽  
Air Breathing ◽  
Order Form ◽  
Control Scheme

An adaptive neural control scheme without backstepping is proposed for the air-breathing hypersonic vehicle subject to input constraints. To estimate the unknown nonlinearity of velocity subsystem and altitude subsystem, two radial basis function neural networks (RBFNNs) are constructed. Since the complex backstepping design steps are not needed, the proposed control structure is quite concise and the problem of “explosion of terms” is avoided. Moreover, a novel nonlinear auxiliary system is constructed to solve the problem of input constraints. The advantage of the proposed auxiliary system is that its high-order form has good performance and the parameter tuning is relatively easy. Simulation results show that the designed controllers achieve stable tracking of reference commands with good performance.

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