Abstract
This paper introduces a neural network adaptive control and sliding mode control combining reconfigurable control for aircraft. The control law is based on the nonlinear dynamic inversion. Sliding model control and fuzzy neural network adaptive control are used to compensate twice the inversion error induced by aircraft actuator failures. Thereby the robustness of dynamic inversion control is greatly improved, and the modeling accuracy has been solved. The simulation shows that this method is feasible.
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Xin, G., Qian, Z., Chen, W., Qian, K., Li, L. (2010). Neural Network and Sliding Mode Control Combining Based Reconfigurable Control. In: Li, K., Li, X., Ma, S., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Communications in Computer and Information Science, vol 98. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15859-9_33
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DOI: https://doi.org/10.1007/978-3-642-15859-9_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15858-2
Online ISBN: 978-3-642-15859-9
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