Open Canal System Control Parameters Online Optimization Based on ID Prediction Model
SU Hai-wang1，GUAN Guang-hua1，ZHONG Le1，CHEN Chen2，YE Wen-wen1
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1． State Key Laboratory of Water Ｒesources and Hydraulic Engineering，Wuhan University，Wuhan 430072，China;
2． Power China Huadong Engineering Corporation，Hangzhou 310014，China
The successful application of canal system control algorithm in water conveyance project has greatly improved canal system operation，but the existing canal system control algorithms still have some drawbacks，such as the coupling between the canal and pool time lag，as well as traditional PID control algorithm dealing with high sensitivity mutation and so on． In order to further improve the response
speed of the canal system and reduce the water level fluctuation，the model predictive control is introduced into the channel automation control． The linearized ID model is used as the forecasting model，and the objective function is optimized through on－line scrolling to design a PID Controller that can adjust feedback control parameters in real time． Based on the engineering background of three－trunk canals in Zhanghe Irrigation District of Hubei Province，a single canal control model is established and simulated． The simulation results show that MPC control method has the characteristics of a rolling real－time online optimization，demand for changing channels，and the future state of the system can better predicted and used to select the appropriate controller parameters．
苏海旺，管光华，钟 乐1，陈 琛，叶雯雯.
基于 ID 预测模型的明渠系统控制参数在线优化研究
[J].中国农村水利水电, 2019(3): 141-144
SU Hai-wang，GUAN Guang-hua，ZHONG Le，CHEN Chen，YE Wen-wen.
Open Canal System Control Parameters Online Optimization Based on ID Prediction Model[J].China Rural Water and Hydropower, 2019(3): 141-144
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