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
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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
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参考文献9

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二级参考文献8

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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
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