Event-Triggered Model Predictive Control in Wastewater Treatment Process Based on Effluent Quality
The time-consuming and computational complexity of the application of model predictive control(MPC)to large-scale nonlinear systems such as wastewater treatment plants(WWTP)were studied,and a new event-triggered control strategy was proposed to solve the problem,in which the model predictive controller updates the information and optimizes the solution of the problem only when the corresponding trigger conditions are met.In order to ensure the performance of the system,the effluent quality was integrated into the design of the event triggering logic condition,and the effluent water quality coefficient was introduced to establish the relationship between the output variable and the effluent water quality,which indirectly reflected the performance of the WWTP,and the control action was adjusted according to the performance index to reduce the calculation cost,and different effluent water quality coefficients could be used to enhance the flexibility of the algorithm.The experimental results show that the calculation time could be reduced by 27.1％to 42.7％while the effluent quality and total cost index are basically unaffected.
MPCWWTPbenchmark simulation model 1(BSM1)event-triggered controlfluent quality
万方数据
维普
