q参数化中自由传递函数近似的一种新方法

G. Sanchez, J. Ferrer
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引用次数: 0

摘要

本文提出了一种近似q参数化中自由传递函数的新方法。与其他方法相比,它的主要优点是在设计过程中需要调整的参数数量减少了。作为设计实例,利用演化非线性优化技术GESA解决了“双质量和弹簧”基准控制问题
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new approach for approximating the free transfer function in Q-parametrization
This paper presents a new approach for approximating the free transfer function in Q-parametrization. Its main advantage is that the number of parameters to be tuned during the design process is reduced, when compared to others methods. As a design example, the "two-mass and spring" benchmark control problem was solved, using GESA: an evolutionary non-linear optimization technique
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