Improving the Control Energy in Model Reference Adaptive Controllers Using Fractional Adaptive Laws
Improving the Control Energy in Model Reference Adaptive Controllers Using Fractional Adaptive Laws作者机构:Department of Electrical Engineering and the Advanced Mining Technology Center University of Chile IEEE
出 版 物:《IEEE/CAA Journal of Automatica Sinica》 (自动化学报(英文版))
年 卷 期:2016年第3卷第3期
页 面:332-337页
核心收录:
学科分类:08[工学] 0835[工学-软件工程] 0802[工学-机械工程] 080201[工学-机械制造及其自动化]
基 金:supported by CONICYT-Chile,under the Basal Financing Program(FB0809) Advanced Mining Technology Center,FONDECYT Project(1150488) Fractional Error Models in Adaptive Control and Applications,FONDECYT(3150007) Postdoctoral Program 2015
主 题:Control energy fractional adaptive laws modelreference adaptive control
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 *** 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.