A fast optimization method based on multi-objective optimization algorithm was proposed to address the problem that the existing method takes too long to calculate the control scheme and cannot meet the real-time control requirements when using the heuristic algorithm for channel predictive control based on Saint-Venant's equation.Using a numerical model of an experimental channel as the control object,a predictive control model was constructed using this method to generate a control scheme,and a one-dimensional hydrodynamic model was constructed to verify the control scheme.It is found that in the gate control system,the four objectives of minimizing maximum value beyond the wa-ter level control range,minimizing average value beyond the water level control range,minimizing number of gate actions,and minimizing total gate opening change can be mutually induced to accelerate the optimization calculation process by more than four times.In a working condition where the flow rate of the experimental canal is adjusted according to the plan,the effectiveness of this method is verified,and the single calculation time is shortened to within 1 s.The verification results show that this method can improve the water level control effect while reducing unnecessary gate control caused by setting the maximum and minimum targets separately that exceed the water level control range,resulting in a total reduction of 69%in gate control times.
关键词
渠道水位控制/预测控制/多目标优化/圣维南方程/闸门自动控制
Key words
canal water level control/predictive control/multi-target optimization/Saint-Venant equation/gate automatic control
维普
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