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渠道运行广义预测控制技术及其仿真 被引量:4

Generalized predictive control model and simulating for canals
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摘要 由于渠道系统的非线性、大滞后以及其扰动的不可预见性 ,把在工业过程中常用的控制方式如PID控制 ,用在渠道自动控制中 ,效果不是很好 .采用基于参数模型的广义预测的控制算法 ,建立渠系自动运行数学模型 ,并在MATLAB平台进行了仿真 ,考察其对补偿渠系的大时延特性 。 Due to a long time lag, non-linearity and unpredict able perturbations involoved by hydrolic systems, control methods used in indust ry such as PI, PID are not suitable for automatic control of canals. To develop more effective controllers, different control methods have been developed and ar e still being developed. In our research, the generalized predictive control (GP C) algorithm is introduced. A dynamics model of canal based on GPC has been set and simulated in MATLAB. In our simulation study, the objective is to investigat e the effect on delay compensation and non-linearity regulation using GPC. We h ave tested the dynamics model and analyzed the simulation result. From the resul t, it is obvious that the controller based on GPC is rather suitable for automat ic control of canal.
作者 安宁
出处 《武汉大学学报(工学版)》 CAS CSCD 北大核心 2003年第3期4-6,共3页 Engineering Journal of Wuhan University
关键词 渠道自动化 广义预测控制 系统辨识 仿真 canal automation general predictive control system identification simulation
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参考文献4

  • 1王桂增 王诗宓.高等控制过程[M].北京:清华大学出版社,2002..
  • 2Malaterre P O, Bauume J P. Modeling and regulation canals: existing application and on going researches[C]. IEEE Int. Conference on Systems, Man & Cybernetics, San Diego, California, 1998. 3850--3855.
  • 3Baume J P, Jacques Sau, Malaterre P O. Modeling of irrigation chanel dynamics for controller design[C].IEEE Int. Conference on Systems, Man & Cybernetics, San Diego, California, 1998. 3856--3861.
  • 4Sawadogo S. Decentralized predicton controller for delivery canals[C]. IEEE Int. Conference on Systems, Man & Cybernetics, San Diego, California,1998. 3880--3884.

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