Multiobjective evolutionary algorithms for multivariable PI controller design

被引：37
|
作者：
Reynoso-Meza, Gilberto [1 ]
Sanchis, Javier [1 ]
Blasco, Xavier [1 ]
Herrero, Juan M. [1 ]
机构：
[1] Univ Politecn Valencia, Inst Univ Automat & Informat Ind, Grp Control Predictivo & Optimizac Heurist CPOH, Valencia 46022, Spain
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2012年 / 39卷 / 09期
关键词：
Multiobjective optimisation; Controller tuning; PID tuning; Multiobjective evolutionary optimisation; Decision making; DIFFERENTIAL EVOLUTION; PARETO FRONT; OPTIMIZATION; ROBUST;
D O I：
10.1016/j.eswa.2012.01.111
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A multiobjective optimisation engineering design (MOED) methodology for PI controller tuning in multivariable processes is presented. The MOED procedure is a natural approach for facing multiobjective problems where several requirements and specifications need to be fulfilled. An algorithm based on the differential evolution technique and spherical pruning is used for this purpose. To evaluate the methodology, a multivariable control benchmark is used. The obtained results validate the MOED procedure as a practical and useful technique for parametric controller tuning in multivariable processes. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码：7895 / 7907
页数：13
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