Improving the Control Energy in Model Reference Adaptive Controllers Using Fractional Adaptive Laws

被引：0
|
作者：
Aguila-Camacho, Norelys [1 ,2 ]
Duarte-Mermoud, Manuel A. [1 ,2 ]
机构：
[1] Univ Chile, Dept Elect Engn, Santiago, Chile
[2] Univ Chile, Adv Min Technol Ctr, Santiago, Chile
来源：
IEEE-CAA JOURNAL OF AUTOMATICA SINICA | 2016年 / 3卷 / 03期
关键词：
Control energy; fractional adaptive laws; model reference adaptive control;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents the analysis of the control energy consumed in model reference adaptive control (MRAC) schemes using fractional adaptive laws, through simulation studies. The analysis is focused on the energy spent in the control signal represented by means of the integral of the squared control input (ISI). Also, the behavior of the integral of the squared control error (ISE) is included in the analysis. The orders of the adaptive laws were selected by particle swarm optimization (PSO), using an objective function including the ISI and the ISE, with different weighting factors. The results show that, when ISI index is taken into account in the optimization process to determine the orders of adaptive laws, the resulting values are fractional, indicating that control energy of the scheme might be better managed if fractional adaptive laws are used.
引用
收藏
页码：332 / 337
页数：6
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