摘要
Based on a simplified model reference adaptive control(SMRAC) algorithm a parameter modification algorithm according to fuzzy laws is proposed in this paper. The method makes the adaptive parameters in SMRAC only rely on the status of performance error. Thus it eliminates the influences of gain coefficients in SMRAC and the amplitude of input signal on the dynamic characteristics. Experiments on various step amplitudes and loads show that the performances of SMRAC are improved by incorporating fuzzy modification method.
本文在一种简化模型自适应控制的基础上，提出了一种基于模糊规律的参数调节方法．用模糊规则调节模型参考自适应算法中的自适应参数，消除了原算法中增益系数、输入信号幅值等对系统性能的不良影响，使ＭＲＡＣ中自适应参数仅依赖于系统误差的状态．大量阶越试验表明，在不同阶越幅度及负载时变的情况下，采用模糊调节后，系统均具有优良的动态性能，算法鲁棒性、稳定性优于模型参考自适应算法．
基金
高校博士学科点专项科研基金
