Department of Automation and Systems, Federal University of Santa Catarina, P.O. Box 476, ZIP Code 88040.900, Florianópolis, SC, Brazil.
ISA Trans. 2012 Jan;51(1):13-21. doi: 10.1016/j.isatra.2011.07.006. Epub 2011 Aug 19.
This paper presents a study on self-tuning control strategies with generalized minimum variance control in a fixed two degree of freedom structure-or simply GMV2DOF-within two adaptive perspectives. One, from the process model point of view, using a recursive least squares estimator algorithm for direct self-tuning design, and another, using a Mamdani fuzzy GMV2DOF parameters scheduling technique based on analytical and physical interpretations from robustness analysis of the system. Both strategies are assessed by simulation and real plants experimentation environments composed of a damped pendulum and an under development wind tunnel from the Department of Automation and Systems of the Federal University of Santa Catarina.
本文提出了一种在固定两自由度结构(简称 GMV2DOF)内基于广义最小方差控制的自整定控制策略的研究,从两个自适应角度进行分析。一种是从过程模型的角度,使用递归最小二乘估计器算法进行直接自整定设计;另一种是使用基于分析和物理解释的 Mamdani 模糊 GMV2DOF 参数调度技术,对系统的鲁棒性进行分析。这两种策略都通过仿真和由圣卡塔琳娜联邦大学自动化与系统系开发的阻尼摆和正在开发中的风洞组成的实际植物实验环境进行了评估。