A Multi-objective Optimal Control Method Based on Dynamic Variation
A multi-objective optimization and control method technology, applied in the field of complex industrial process modeling and optimal control, can solve the problems of small controllable range of energy consumption and fines, difficult tracking, difficult to balance energy consumption and fines, etc.
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[0074] This embodiment provides a multi-objective optimal control method based on dynamic variable values:
[0075] For the sewage treatment process with complex, nonlinear and strong coupling characteristics, the International Water Quality Association and the European Union Science and Technology and Cooperation Organization jointly developed the benchmark simulation model No. 1 (Benchmark Simulation Model 1, BSM1), the simulation research on the activated sludge method and intelligent control lay the foundation, such as figure 1 , showing the structure of the BSM1 system, where Q 0 is the water flow rate, Q 0 is the water flow rate, Q 0 is the sludge flow rate, Q 0 is the internal return flow, Q 0 is the external return flow, S O4set Set value for dissolved oxygen concentration of Unit 4, S O5set Set value for the dissolved oxygen concentration of unit 5, S NO2set Set value for the nitrate nitrogen concentration of the second unit. Combine below figure 1 As shown, ...
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