基于模糊模型参考学习控制的鲁棒自动驾驶仪

2016 IEEE International Conference on Information and Automation (ICIA) Pub Date : 2016-08-01 DOI:10.1109/ICINFA.2016.7831976

Lintao Zheng, Guodong Xu

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引用次数: 0

摘要

本文研究了无人机的模糊学习算法。它允许实时自调整控制器成员函数的参数。基于鲁棒H2/H∞优化，通过“脆”原型合成模糊控制器的主结构。结果表明，所得到的控制算法具有较高的性能和鲁棒性。

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Robust autopilots based on the fuzzy model reference learning control

Fuzzy learning algorithm of UAV is considered in this paper. It allows real time self-tuning of parameters of the controller's membership functions. The primary structure of the fuzzy controller is synthesized via “crisp” prototype based on the robust H2/H∞-optimization. It is shown that obtained control algorithm possesses high level of performance and robustness.

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2016 IEEE International Conference on Information and Automation (ICIA)

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