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基于模糊神经网络PID在曝气池溶解氧控制系统中的应用
Application of fuzzy neural network PID in dissolved oxygen control system of aeration tank
【摘要】 对于造纸污水处理中的曝气池控制系统,由于溶解氧浓度控制存在着大滞后,非线性以及波动大,难以确定数学模型等问题,本研究提出了模糊神经网络PID控制溶解氧浓度。利用MATLAB对算法进行仿真,结果表明,该控制器鲁棒性好,超调量小,响应迅速。
【Abstract】 There exist some problems for the aeration control system in eff luent treatment, such as hysteresis of dissolved oxygen concentration control, non-linearity and large fluctuation,and difficulty to determine mathematical models. Fuzzy neural net work PID cont rol was put for ward here to help cont rol dissolved oxygen concentration, and MATLAB was applied to simulate the algorithm. The results show that the controller has good control effect, small overshoot and quick responses.
【关键词】 溶解氧浓度;
曝气池;
模糊神经网络PID控制;
MATLAB仿真;
【Key words】 dissolved oxygen concentration; aeration tank; PID control of fuzzy neural network; MATLAB simulation;
【Key words】 dissolved oxygen concentration; aeration tank; PID control of fuzzy neural network; MATLAB simulation;
【基金】 国家林业局948项目“农林剩余物制机械浆节能和减量技术引进”(2014-4-31)
- 【文献出处】 中华纸业 ,China Pulp & Paper Industry , 编辑部邮箱 ,2019年06期
- 【分类号】X793
- 【被引频次】8
- 【下载频次】242