基于迭代SVD—切向插值方法的MIMO系统降阶

MIMO Systems Modeling Reduction Based an Interative-tangential Interpolation Method

为了进一步提高多输入多输出(MIMO)时不变系统模型降阶算法的精度和效率,结合奇异值分解(SVD)降阶和切向插值降阶方法的优点,提出了一种基于迭代SVD-切向插值模型降阶方法(ISTIA)。对于MIMO时不变系统模型降阶,其优点是计算简单有效、性能鲁棒。最后通过对标准算例和气动伺服弹性(ASE)模型的降阶仿真,证明了本文方法的准确性和有效性。

In order to improve the accuracy and efficiency of the existing MIMO linear time invariant systems reduction algorithm, combining the advantages of the SVD reduction approach with the tangential interpolation ones, proposed and developed Iterative SVD-Tangential Interpolation Algorithm （ISTIA）. The contribution of the method was to provide a simple but numerically robust and effective procedure. Finally, using the mode reduction of the workbench cases and aeroservoelastical （ASE） aircraft model validated correctness and validity of the proposed algorithm.