Controller Tuning by Means of Multi-Objective Optimization Algorithms: A Global Tuning Framework

被引：52

作者：

Reynoso-Meza, Gilberto ^{[1
]}

Garcia-Nieto, Sergio ^{[1
]}

Sanchis, Javier ^{[1
]}

Blasco, F. Xavier ^{[1
]}

机构：

[1] Univ Politecn Valencia, Inst Univ Automat & Informat Ind, Valencia 46022, Spain

来源：

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY | 2013年 / 21卷 / 02期

关键词：

Controller tuning; decision making; evolutionary algorithm; multiobjective optimization; proportional-integral-derivative (PID) tuning; MODEL-PREDICTIVE CONTROL; EVOLUTIONARY ALGORITHMS; DECISION-MAKING; DIFFERENTIAL EVOLUTION; INTELLIGENT CONTROL; PID CONTROLLERS; DESIGN; ROBUST; SYSTEM;

D O I：

10.1109/TCST.2012.2185698

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A holistic multi-objective optimization design technique for controller tuning is presented. This approach gives control engineers greater flexibility to select a controller that matches their specifications. Furthermore, for a given controller it is simple to analyze the tradeoff achieved between conflicting objectives. By using the multi-objective design technique it is also possible to perform a global comparison between different control strategies in a simple and robust way. This approach thereby enables an analysis to be made of whether a preference for a certain control technique is justified. This proposal is evaluated and validated in a nonlinear multiple-input multiple-output system using two control strategies: a classical proportional-integral-derivative control scheme and a feedback state controller.

引用

页码：445 / 458

页数：14

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