Combined ACO Algorithm - Nelder-Mead Simplex Search for Controller and Anti-Windup Tuning for a Motion System with Flexible Transmission

被引：0

作者：

Blondin, Maude-Josee ^{[1
]}

Sicard, Pierre ^{[1
]}

机构：

[1] Univ Quebec Trois Rivieres, ECE Dept, Res Grp Ind Elect, Trois Rivieres, PQ GA9 5H7, Canada

来源：

39TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2013) | 2013年

关键词：

Ant colony optimization; Nelder-Mead algorithm; Heuristic algorithms; PID Controller; Integrator anti-windup; Optimization; Motion systems;

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：

Optimal controller and anti-windup tuning for motion systems with flexible coupling and cascaded loops control structure is a practical and difficult problem, in particular when time scale separation is insufficient. An Ant Colony Optimization (ACO) based methodology for global off-line tuning of Proportional-Integral-Derivative (PID) controllers with anti-windup can be used at the expense of excessive computation time. A new hybrid algorithm based on ACO and Nelder-Mead (NM) improves computation time to reach accurate optimal solutions. This hybrid algorithm handles large sets of parameters to tune and the designer can modify or create new performance indices to fully grasp the desired behavior with multi-objective criteria.

引用

页码：3364 / 3369

页数：6

共 28 条

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