Adaptive neural network control for helicopters in vertical

作者：Tee Keng Peng^*; Ge Shuzhi Sam; Tay Francis E H

来源：IEEE Transactions on Control Systems Technology, 2008, 16(4): 753-762.

DOI：10.1109/TCST.2007.912242

• adaptive control
• helicopters
• neural networks (NNs)
• output feedback
• uncertain systems

In this brief, robust adaptive neural network (NN) control is presented for helicopters in vertical flight, with dynamics in single-input-single-output (SISO) nonlinear nonaffine form. Based on the use of the implicit function theorem and the mean value theorem, we propose a constructive approach for adaptive NN control design with guaranteed stability. Considering both full-state and output feedback cases, it is shown that the output tracking error converges to a small neighborhood of the origin, while the remaining closed-loop signals remain bounded. The simulation study demonstrates the effectiveness of the proposed control.

• 出版日期2008-7