Abstract
This paper proposes an enhanced learning anti-disturbance control method for cruise missile. In order to deal with time-varying matched and mismatched disturbances, STDO and HDO disturbance observers were designed for inner and outer rings respectively. By introducing STDO and HDO, the disturbance of inner and outer loop of the system is effectively solved. In order to improve the robustness and adaptability of the system to uncertainty, this paper introduces the perfect fitting long and short time memory (LSTM) network based on reinforcement learning control framework, and proposes a reinforcement learning control method based on LSTM. The simulation results show that the control output of the system is stable and bounded, which verifies the good performance of the proposed control structure.
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Huang, S., Yuan, C. (2022). Reinforcement Learning Adaptive Anti-disturbance Control Method for a Class of Cruise Missile. In: Wu, M., Niu, Y., Gu, M., Cheng, J. (eds) Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021). ICAUS 2021. Lecture Notes in Electrical Engineering, vol 861. Springer, Singapore. https://doi.org/10.1007/978-981-16-9492-9_36
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DOI: https://doi.org/10.1007/978-981-16-9492-9_36
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