具有辨识死区的降阶鲁棒自校正控制
A Robust Self-Tuning Controller With Identified Deadzone and Reduced Models
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摘要: 提出了一种实用的鲁棒自校正控制算法,该算法克服了未建模动态的影响,不仅获得了系统的有界稳定,消除了稳态误差,而且采用递归辨识途径解决了因未建模动态未知靠试凑选择死区的不足,仿真实验说明了算法的有效性.Abstract: A practical robust self-tuning control algorithm is put forward. The algorithm counteracts the action of unmodeled dynamics, guarantees the bounded imput/output (BIBO) stability, and eliminates the tracking error. Moreover, a recursive way to identify the deadzone is adapted in the algorithm, which is much better than selecting deadzone based on experience. The simulation results show that the algorithm is of effectiveness. MoreBack