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| Dissolved Oxygen Concentration Control System Based on the Adaptive Mutation Differential Evolution Algorithm |
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| DOI：10.11980/j.issn.0254-508X.2017.06.010 |
| Key Words:dissolved oxygen PID differential evolution algorithm adaptive mutation |
| Fund Project:陕西省重点科技创新团队计划项目(2014KCT-15)；咸阳市科技计划项目(2012K03-01)。 |
| Author Name | Affiliation | | 汤 伟1,3 | 1.陕西科技大学电气与信息工程学院,陕西西安,710021；3.陕西农产品加工技术研究院,陕西西安,710021 | | 白志雄2,* | 2.陕西科技大学机电工程学院,陕西西安,710021 | | 高 祥2 | 2.陕西科技大学机电工程学院,陕西西安,710021 |
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| Abstract:The parameter of dissolved oxygen is of great importance in the process of paper wastewater treatment. But the dissolved oxygen control process exists the problems of nonlinear and time-delay, the normal PID control is hard to get ideal effect. In this paper, based on the analysis of the differential evolution algorithm, an adaptive mutation differential evolution algorithm was proposed, and used to the parameter optimization of PID controller, in order to realize the dissolved oxygen concentration precise control. Through MATLAB simulation, compared with the normal PID control and the PID control based on the traditional differential evolution algorithm, this algorithm had the advantages of fast response, less overshoot and good control effect. In practical applications of this algorithm COD removal rate reached 84.5%, BOD removal rate reached 93.4%,Water treatment system was running well and the treated wastewater could meet the discharge regulation. |
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