Optimal Control of an Evaporation Process Using a Fast Particle Swarm Optimization Algorithm

Qinqin CHAI  Qiongbin LIN  Shuangjie LIN

doi:10.12034/j.issn.1009-606X.216286

The Chinese Journal of Process Engineering >

2017 , Vol. 17 >Issue 3: 539 - 544

DOI: https://doi.org/10.12034/j.issn.1009-606X.216286

Process & Technology

Optimal Control of an Evaporation Process Using a Fast Particle Swarm Optimization Algorithm

Qinqin CHAI Qiongbin LIN Shuangjie LIN

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1. College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, Fujian 350108, China;
2. Research Center for Advanced Process Control, Fuzhou University, Fuzhou, Fujian 350108, China

Received date: 2016-08-30

Revised date: 2016-12-12

Online published: 2017-06-14

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Abstract

Using the improved Euler method, a discrete dynamic model for evaporation process was firstly built. Then a nonlinear prediction control model was constructed. For time-delayed system, the sampling period should be small but the prediction control period should be long. These time requirements resulted in serious computational burden. To improve computational speed, a fast particle swarm algorithm was proposed to ensure the real-time control. And simulation results of a real evaporation process showed that even the sampling time was enough small. In addition, the levels and concentration reach the desired range in a short time, and the live steam consumption was decreased by 1% and saved about 0.6 t/h.

Key words： evaporation process; optimal control; time delay; particle swarm optimization

Cite this article

Qinqin CHAI Qiongbin LIN Shuangjie LIN . Optimal Control of an Evaporation Process Using a Fast Particle Swarm Optimization Algorithm[J]. The Chinese Journal of Process Engineering, 2017 , 17(3) : 539 -544 . DOI: 10.12034/j.issn.1009-606X.216286

References

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