| 基于PSO-DE算法的污水处理优化控制研究 |
| |
| 引用本文： | 叶永伟,葛沈浩,任设东,钱志勤.基于PSO-DE算法的污水处理优化控制研究[J].应用声学,2016,24(2):68-70. |
| |
| 作者姓名： | 叶永伟 葛沈浩 任设东 钱志勤 |
| |
| 作者单位： | 浙江工业大学特种装备制造与先进加工技术教育部/浙江省重点实验室 杭州 310014,浙江工业大学特种装备制造与先进加工技术教育部/浙江省重点实验室 杭州 310014,浙江工业大学特种装备制造与先进加工技术教育部/浙江省重点实验室 杭州 310014,浙江工业大学特种装备制造与先进加工技术教育部/浙江省重点实验室 杭州 310014 |
| |
| 摘 要： | 针对污水处理系统能耗过大,变量多,非线性和滞后严重等特点造成的控制困难问题,提出了基于改进型粒子群的算法的优化控制。粒子群算法具有自适应控制,全局搜索等优点但本身存在早熟收敛及在进化后期收敛速度慢等缺点,通过优势互补思想引入差分进化算法,新算法结合两者优势有效提高粒子在全局的寻优效率,建立对应的混合算法优化模型,并与普通粒子群算法优化进行比较,结果证明了该算法在保证出水水质的前提下做到降低能耗。
|
| 关 键 词： | 污水处理 优化控制 改进粒子群算法 |
| 收稿时间： | 2015/7/30 0:00:00 |
| 修稿时间： | 2015/9/21 0:00:00 |
Optimal Control for Wastewater Treatment Process Based on Mixed POS-DE Algorithm |
| |
| Ren Shedong and Qian Zhiqin.Optimal Control for Wastewater Treatment Process Based on Mixed POS-DE Algorithm[J].Applied Acoustics,2016,24(2):68-70. |
| |
| Authors: | Ren Shedong and Qian Zhiqin |
| |
| Institution: | Key Laboratory of E M,Ministry of Education Zhejiang Province,Zhejiang University of Technology,,Key Laboratory of E M,Ministry of Education Zhejiang Province,Zhejiang University of Technology,Key Laboratory of E M,Ministry of Education Zhejiang Province,Zhejiang University of Technology |
| |
| Abstract: | The characteristics of the sewage treatment process are higher energy consumption, parametric complexity, nonlinear system and lag seriously.It caused control difficulty.To solve these problems the optimizationScontrol which is based on improved PSO algorithm is proposed. The new hybrid algorithm is designed by introducing differential evolution algorithm to overcome slow convergence speed of particle swarm optimization algorithm in the late time , establish a corresponding model,compared with the conventional PSO algorithm,The results prove the superiority and effectiveness of the proposedSmethod |
| |
| Keywords: | sewage treatment process optimization control Improved PSO Algorithm |
|
| 点击此处可从《应用声学》浏览原始摘要信息 |
| 点击此处可从《应用声学》下载免费的PDF全文 |
|
