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The Application of Full Adaptive RBF NN to SMC Design of Missile Autopilot

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Advances in Neural Networks - ISNN 2008 (ISNN 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5264))

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Abstract

A new adaptive sliding-mode control (SMC) scheme was proposed, which incorporated Full Adaptive RBF NN into sliding-mode control using Full Adaptive RBF NN to approximate the equivalent control and the upper bound of uncertainty which involved the disturbance and approximation error, thus the influence of modeling error was reduced and the gain of sliding-mode control part was more fitting, such that the chattering effects could be alleviated . Lyapunov stability theorem was used to prove the stability of the system and the adaptive laws were deduced. Finally, simulation results of some BTT missile were included to illustrate the effectiveness of the adaptive sliding-mode control scheme.

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© 2008 Springer-Verlag Berlin Heidelberg

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Yu, J., Cheng, C., Wang, S. (2008). The Application of Full Adaptive RBF NN to SMC Design of Missile Autopilot. In: Sun, F., Zhang, J., Tan, Y., Cao, J., Yu, W. (eds) Advances in Neural Networks - ISNN 2008. ISNN 2008. Lecture Notes in Computer Science, vol 5264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87734-9_19

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  • DOI: https://doi.org/10.1007/978-3-540-87734-9_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87733-2

  • Online ISBN: 978-3-540-87734-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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