Journal of Guangxi Normal University(Natural Science Edition) ›› 2018, Vol. 36 ›› Issue (1): 53-60.doi: 10.16088/j.issn.1001-6600.2018.01.007

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Iterative Learning Control of Dam-River Channel Irrigation Systems

DAI Xisheng1,2*,LI Guang 1,3 ,ZHOU Xingyu1   

  1. 1. School of Electrical and Information Engineering,Guangxi University of Science and Technology,Liuzhou Guangxi 545006,China;
    2. Colleges and Universities Key Laboratory of Intelligent Integrated Automation, Guilin University of Electronic Technology,Guilin Guangxi 541004,China;
    3. School of Intelligent Manufacturing, Guangdong College of Business and Technology,Zhaoqing Guangdong 526020,China
  • Received:2017-05-30 Online:2018-01-20 Published:2018-07-17

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Abstract: The iterative learning control problem of dam-river channel irrigation system is investigated in this paper. Firstly,the Hayami equation of the linearized equation is discretized in space,and the state space mathematical model of the relationship between gate and flow is established by superposition vector method. Secondly,based on the repetitive characteristics of irrigation process,a D-type iterative learning control algorithm is designed,and the convergence condition of the algorithm is also proposed. The results show that the iterative learning control of opening degree of the gate can make the actual output of the system completely track the expected flow rate in the channel. Finally,the validity of the proposed iterative learning control is illustrated by numerical simulation.

Key words: iterative learning control, irrigation system, Hayami equation, discretization

CLC Number: 

  • TP273
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