Neural network based robust nonlinear control for a magnetic levitation system

作者：Liu Chun sheng^*; Zhang Shao jie; Hu Shou song; Wu Qinc xian

来源：International Journal of Innovative Computing Information and Control, 2008, 4(9): 2235-2242.

• RBF neural networks
• magnetic levitation
• nonlinear system
• robust control
• high-gain observer

In this paper, a robust nonlinear control approach is presented for a magnetic levitated ball system with uncertain parameters and external disturbance. Gaussian basis RBF neural networks are used to approximate the nonlinear uncertainties, a high-gain observer is used to estimate the ball velocity which cannot be measured. A fixed controller and an adaptive robust controller derived can guarantee that the closed-loop system is stable and robust; the desired position tracking performance is achieved when the system parameters change. Simulation results are provided to demonstrate the utility of the proposed method.

• 出版日期2008-9
• 单位南京航空航天大学