期刊文献+

污水泵站系统的自适应模糊控制 被引量:3

Sewage pumping station based on adaptive fuzzy control
下载PDF
导出
摘要 针对污水泵站管网系统的非线性、不确定性以及时滞性引起的水位波动较大、能耗损失高的问题,提出了直接自适应模糊H∞控制方法使泵站水位运行在目标水位附近.直接自适应模糊控制器由H∞鲁棒控制项和模糊控制环节组成;鲁棒控制项用于抑制对泵站控制系统的干扰,选取合适的模糊基函数,通过自适应律调整模糊控制环节中控制输出的参数,并根据Lyapunov定理证明了控制系统的稳定收敛.分别对该系统作了实例洪峰、多种水位仿真,结果表明,应用直接自适应模糊H∞控制方法,提高了污水泵站控制系统响应的抗干扰能力和鲁棒性,能够快速平稳地跟踪目标水位. The application of direct adaptive fuzzy H^∞ control was proposed to keep water-level around the expected value aiming at water-level over-fluctuation and high energy consumption problems caused by the nonlinear, uncertain inflow and time-delay in sewer network. The direct adaptive fuzzy controller was composed of the H^∞robust and the fuzzy controllers. The H^∞ robust controller was to reduce the external disturbances' influence. Suitable member functions modified the fuzzy controller's output by the adaptive control law. The Lyapunov theory proved the system is stable and convergent. The simulation results under the conditions of flood peak and diverse water levels show that the method can improve anti-interference performance and fast target tracking capability in the sewage pumping station control system.
出处 《浙江大学学报(工学版)》 EI CAS CSCD 北大核心 2009年第1期69-72,共4页 Journal of Zhejiang University:Engineering Science
基金 浙江省重大专项资助项目(2006C11227)
关键词 污水泵站 自适应模糊 抗干扰性能 跟踪目标 sewage pumping station adaptive fuzzy anti-interference performance target track
  • 相关文献

参考文献9

  • 1YAGI S, SHIBA S. Application of genetical algorithms and fuzzy control to a combined sewer station [-J3. Water Science and Technology, 1999,39 ( 9 ) : 217 - 224.
  • 2汪雄海,石宏宇.污水泵站系统的预测控制[J].电工技术学报,2003,18(5):79-82. 被引量:13
  • 3汪雄海,周旭强,张利华.污水泵站系统的节能机理及控制策略[J].浙江大学学报(工学版),2005,39(7):1068-1071. 被引量:15
  • 4CHEN Bor-sen, LEE Ching-hsiang, CHANG Yeong- chan. H^∞ tracking design of uncertain nonlinear SISO systems: adaptive fuzzy approach [J]. IEEE Transactions on Fuzzy Systems, 1996, 4(1) : 32 -43.
  • 5HAWWARY M I, ELSHAFEI A L, EMARA H, et al. Output feedback control of a class of nonlinear systems using direct adaptive fuzzy controller[J]. IEE Proceedings- Control Theory and Applications, 2004, 151(5) :615 - 625.
  • 6ZHANG Tian-ping,GU Hai-jun, YU Jian-jiang. Direct adaptive fuzzy control for a class of nonlinear systems [C]///Proceedings of the 2nd International Conference on Machine Learning and Cybernetics. Portugal: [s. n. ], 2003:620 - 624.
  • 7RUBAAI A. Direct adaptive fuzzy control design achieving tracking for high performance servo drives[J]. IEEE Transactions on Energy conversion, 1999, 14(4): 1119 - 1208.
  • 8CHANG Yeong-chan. Adaptive fuzzy-based tracking control for nonlinear SISO systems via VSS and H^∞ ap proaches[J].IEEE Transactions on Fuzzy Systems, 2001, 9(2) :278 -292.
  • 9HOSSEINZADEH N,KALAM A. Direct adaptive fuzzy power system stabilizer[J]. IEEE Transactions on Energy Conversion, 1999, 14(4):1564 - 1571.

二级参考文献8

  • 1Yagi-s Shiba-s. Application of genetic algorithms and fuzzy control to a combined sewer station. Water Science and Technology, 1999, 39 (9): 217--224.
  • 2Yuri A E. Mathematical modeling for optimized control of Moscow's sewer network. Applied Mathematical Modeling, 1999, 23: 543-556.
  • 3Tan P C, Dabke K P. Modeling and control of sewer flow for reduced cost operation of a sewage pumping station.IEEE Transaction on Systems, Man and Cybernatics, 1988, 18:807-813.
  • 4SHAHEEN H Q.Municipal waste water characteristics at Irtah pumping station in the Tulkarem city[J].Water Science and Technology,2000,42(1 - 2):337 - 340.
  • 5TAN P C,DABKE K P.Modeling and control of sewer flow for reduced cost operation of a sewage pumping station[J].IEEE Transaction on Systems,Man and Cybernatics,1988,18(5):807 - 813.
  • 6汪雄海,张龙.污水泵站模糊自学习控制系统[J].电工技术学报,2002,17(5):101-104. 被引量:9
  • 7汪雄海,张龙.污水泵站系统的最优控制策略[J].浙江大学学报(工学版),2002,36(6):718-721. 被引量:4
  • 8汪雄海,石宏宇.污水泵站系统的预测控制[J].电工技术学报,2003,18(5):79-82. 被引量:13

共引文献21

同被引文献22

  • 1徐哲,邬玲懿,杨成忠,王建中,薛安克.基于BP神经网络的城市污水泵站预测模型[J].控制工程,2010,17(4):501-503. 被引量:7
  • 2刘强,冯培恩,潘双夏.基于干扰观测器的非对称液压缸鲁棒运动控制[J].浙江大学学报(工学版),2006,40(4):594-598. 被引量:15
  • 3何中杰,汪昆,汪雄海.污水排放系统优化控制机理及策略[J].电工技术学报,2006,21(5):117-121. 被引量:10
  • 4BUTLER D, SCHUTZE M. Integrating simulation models with a view to optimal control of urban wastewater systems [J]. Environmental Modeling and Software, 2005, 20(4): 415-426.
  • 5CEMBRANO G, QUEVEDU J, SALAMERO M. Optimal control of urban drainage systems: a case study [J]. Control Engineering Practice, 2004, 12(1): 1-9.
  • 6YAGI S, SHIBA S. Application of genetic algorithms and fuzzy control to a combined sewer station [J].Water Science and Technology, 1999, 39(9):217-224.
  • 7THORNDAHL S, WILLEMS P. Probabilistic modeling of overflow, surcharge and flooding in urban drainage using the firstorder reliability method and parameterization of local rain series [J]. Water Research, 2008, 42(1/2): 455-466.
  • 8ROSSMAN L A. EPANET 2 users manual[R].Cincinnati: U.S. Environmental Protection Agency, 2000.
  • 9Tian Jingwen, et al. Measurement and control system of Sewage Treatment based on wireless sensor networks[ C ]. 2008 IEEE In- ternational Conference on Industrial Technology, 2008:1190 - 1193.
  • 10Ning Yanmin, et al. Design of sewage flow remote monitoring sys- tem over GPRS network[ J]. 2010 2nd International Conference on Computational Intelligence and Natural Computing, 2010,2:296 - 299.

引证文献3

二级引证文献18

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部