Abstract
Dynamic model of a non-spinning reentry warhead with moving mass actuators is analyzed. The coupling terms between pitch channel and yaw channel are regarded as the uncertainties of each channel, thus the dynamic model is simplified. In order to approximate the bound of lumped uncertainty, two fuzzy neural network-based sliding mode controllers are designed for the moving mass control systems of pitch channel and yaw channel. They control the motion of two moving masses and realize the exact control of warhead’s attitude angles. The effect of coupling terms is overcome, and thus the robustness and control precision of the moving mass control systems are improved. Simulation results show the designed fuzzy neural network-based sliding mode controllers have good control effect.
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Zhao, H., Zhang, R., Wang, T. (2008). Fuzzy Neural Network-Based Sliding Mode Control for Non-spinning Warhead with Moving Mass Actuators. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2008. Lecture Notes in Computer Science, vol 5226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87442-3_147
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DOI: https://doi.org/10.1007/978-3-540-87442-3_147
Publisher Name: Springer, Berlin, Heidelberg
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