PSO-based intelligent integration of design and control for one kind of curing process

被引：34

作者：

Lu, Xin Jiang ^{[1
]}

Li, Han-Xiong ^{[2
]}

Yuan, Xiang ^{[3
]}

机构：

[1] Cent S Univ, Sch Mech & Elect Engn, Hunan, Peoples R China

[2] City Univ Hong Kong, Dept Mfg Engn & Engn Management, Kowloon, Hong Kong, Peoples R China

[3] Changsha Univ Sci & Technol, Coll Automobile & Mech Engn, Changsha, Hunan, Peoples R China

来源：

JOURNAL OF PROCESS CONTROL | 2010年 / 20卷 / 10期

关键词：

Integration of design and control; Fuzzy modeling; Fuzzy control; Particle swarm optimization (PSO); Curing process; PARTICLE SWARM OPTIMIZATION; TEMPERATURE UNIFORMITY; UNCERTAINTY; MODEL; SYSTEMS;

D O I：

10.1016/j.jprocont.2010.06.019

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a PSO-based intelligent integration of design and control is proposed for one kind of nonlinear curing process. This method combines the merits of both fuzzy modeling/control and PSO method, where fuzzy modeling/control is proposed to approximate/control the nonlinear process in a large operating region and the PSO-based intelligent optimization method is developed to solve non-convex and non-differential integration problem with design and control optimized simultaneously. Finally, the proposed method is compared with the traditional sequential method on controlling the temperature profile of a nonlinear curing process. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：1116 / 1125

页数：10

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