分批补料反应过程的非固定终端经济优化控制

Aiming at the uncertainty of operating condition in the batch process, an unfixed terminal time economic optimization method is proposed. Firstly, the economic model predictive control method is adopted, with terminal constraints replaced by economical maximum item in objective function, and add the batch length of the batch process into the optimization degree of freedom. Duration of batch production is included in optimized variables to establish a dynamic economic optimization problem. Through the different parameterization of each control variable which is updated with time, the dynamic optimization problem is transformed into an NLP problem. Then the interior point penalty function method is used to solve the optimization problem with nonlinear constraints, the obtained optimal control sequence and optimal batch production cycle can minimize the loss caused by uncertain disturbances. The control structure adopts the receding horizon control method, which not only improves the cooperative control ability of the multivariable system, but also adjusts the control curve according to the real-time forecast of the terminal product output, which flexibly optimize trajectory of manipulated variables and operating time. Finally, this method has been tested on the batch optimized control for the aniline hydrogenation process, and the performance is significantly better than that controlled by complex PI method based on selection-splitting. The test results show that the economic optimized control of unfixed terminals optimizes the operating conditions of each batch production from the perspective of the total production efficiency, and realizes the optimal management of the production time and economic efficiency of the batch reaction process.