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采用固定积分变量的方法,对基于简单自适应算法(SAC)的闭环H∞滤波算法进行了改进,增强了经典H∞滤波的动态跟踪特性,确保了该算法的稳定性,同时初步分析了这种新算法提高鲁棒性的原理.通过建模仿真及比较分析表明:与常规H∞滤波器相比,当建模误差存在或者系统模型统计特性未知时,采用改进的简单自适应算法H∞滤波器能够改善滤波的动态特性,降低H∞滤波器对噪声的敏感性,精度更高.
The closed-loop H∞ filtering algorithm based on Simple Adaptive Algorithm (SAC) is improved by using the fixed integral variable method, which enhances the dynamic tracking performance of classical H∞ filtering and ensures the stability of the algorithm. Meanwhile, The new algorithm improves the robustness of the principle.The modeling and simulation and comparative analysis show that: compared with the conventional H ∞ filter, when the modeling error exists or the statistical properties of the system model is unknown, the improved simple adaptive algorithm H ∞ Filter can improve the dynamic characteristics of the filter, reduce the sensitivity of the H∞ filter to noise, higher accuracy.