摘要
对燃煤火电厂脱硫系统浆液PH值的控制,可有效的提高系统的脱硫效率。对浆液PH进行控制,需要将模糊控制器与PI控制器结合,求取浆液pH值控制系统的动态特性,完成对浆液PH的控制。传统方法将浆液PH值作为反馈信号,进行浆液给料调节,但无法获得浆液的动态特征,导致控制效果不理想。提出基于模糊算法的燃煤火电厂脱硫浆液PH值控制方法,首先利用模糊数学的基本思想和理论的控制方法对浆液PH值控制系统进行了详细的分析;其次,根据模糊控制器原理,将模糊控制器与PI控制器的结合,以浆液pH值控制系统的动态特性为基础,实现燃煤火电厂脱硫浆液PH值控制,最后对燃煤火电厂脱硫浆液PH值控制方案进行MATLAB仿真分析。仿真结果表明,采用改进的PH值控制方法时,控制精度及效率均要优于传统控制方法,具有较强的鲁棒性。
This article proposes a control method for pH value of desulfurization slurry in coal-fired power plant based on fuzzy algorithm. Firstly, we used the theory of fuzzy mathematics to analyze control system of pH value in detail, then combined fuzzy controller and PI controller according to fuzzy controller principle. Moreover, the re- search achieved the pH value control based on dynamic characteristics of pH control system. Finally, we carried out MATLAB simulation analysis on pH control plan of desulfurization slurry. Simulation results show that the control pre- cision and efficiency of the modified control method are superior to traditional control method. The Robustness of the method is stronger.
出处
《计算机仿真》
北大核心
2017年第9期109-113,共5页
Computer Simulation
关键词
燃煤火电厂
脱硫效率
浆液
Coal-fired power plant
Desulfurization efficiency
Slurry
