Decoupling Control of Headbox using Particle Swarm Optimisation (PSO) Algorithm

P. Saini, R. Kumar, P. Juneja
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引用次数: 2

Abstract

For multivariable systems, loop interaction is a major issue to be addressed. To reduce loop interaction among various loops in a multivariable system, decouplers are designed. Decouplers act as cross controllers for any multivariable systems. The control of such systems using decouplers, is known as decoupling control. The objective of decoupling control is to minimize control loop dealings. This paper presents design and analysis of decoupling control of headbox using PI controller based on Particle Swarm Optimisation (PSO) algorithm. The performance of PSO based PI controller has been compared with PI controller designed using conventional techniques such as IMC, ZN and TL.
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基于粒子群优化算法的机顶盒解耦控制
对于多变量系统,回路相互作用是需要解决的主要问题。为了减少多变量系统中各回路之间的相互作用,设计了解耦器。解耦器作为任何多变量系统的交叉控制器。使用解耦器对这类系统进行控制,称为解耦控制。解耦控制的目标是使控制回路的事务最小化。本文设计并分析了基于粒子群优化算法的PI控制器对车头箱的解耦控制。将基于粒子群算法的PI控制器与采用IMC、ZN和TL等传统方法设计的PI控制器的性能进行了比较。
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