Robust adaptive control based on wavelet neural network for a hypersonic vehicle
- Resource Type
- Conference
- Authors
- Shou-bin, Wang; Xin-min, Wang; Cong-chao, Yao; Yu, Huang
- Source
- 2011 IEEE 2nd International Conference on Computing, Control and Industrial Engineering Computing, Control and Industrial Engineering (CCIE), 2011 IEEE 2nd International Conference on. 2:332-336 Aug, 2011
- Subject
- Computing and Processing
Robotics and Control Systems
Power, Energy and Industry Applications
Vehicle dynamics
Robustness
Vehicles
Adaptation models
Adaptive control
Aerospace control
Hypersonic Vehicle
Wavelet Neural Network
Dynamic Inversion Control
Robust Adaptive Control
- Language
In order to enhance robustness of dynamic inversion controller for a general hypersonic vehicle, a stable robust adaptive control strategy based on wavelet neural network is proposed. An adaptive term implements by the wavelet neural network output to approximately cancel uncertainties, and also a robust term is designed to attenuate the approximation error with guaranteed performance and stability. The system asymptotically tracks the desired output by means of on-line studying uncertainties via wavelet neural network. Theoretical analysis is done to validate Lyapunov stability of the system. The simulation results show that the developed method can provide sufficient robustness and adaptability. This method is effective and deals with the problem of uncertain parameters preferably.