Model-Free Adaptive Control Based on Particle Swarm Optimization Algorithm for Water Bath Drawing Process of Carbon Fiber

Jian Ren; Yong Sheng Ding; Kuang Rong Hao

doi:10.4028/www.scientific.net/AMM.303-306.1180

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 303-306Model-Free Adaptive Control Based on Particle...

Model-Free Adaptive Control Based on Particle Swarm Optimization Algorithm for Water Bath Drawing Process of Carbon Fiber

Abstract:

The water bath drawing slot in carbon fiber production is a MIMO system with coupling and time delay. It is difficult for a traditional control scheme to realize stable control on the water bath drawing slot. In this paper, a model-free adaptive control based on particle swarm optimization (PSO) algorithm was designed with few parameters, convenient control, and without decoupling. The PSO algorithm was used to adjust MFAC controller parameters online at each sampling time. The proposed method was applied to the liquid-level-concentration control in the water bath drawing slot of carbon fiber production. The control method has rapid response time, good decoupling and performance by comparing with model-free adaptive control and traditional PID control.

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Periodical:

Applied Mechanics and Materials (Volumes 303-306)

Pages:

1180-1184

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.303-306.1180

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Online since:

February 2013

Authors:

Jian Ren, Yong Sheng Ding, Kuang Rong Hao

Keywords:

Carbon Fiber (CF), Model-Free Adaptive Control (MFAC), Particle Swarm Optimization (PSO), Water Bath Drawing

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