Integrated operation optimization strategy for batch process based on process transfer model under disturbance

An integrated operation optimization strategy based on the process transfer model (PTM) is proposed in this work, which combines the batch‐to‐batch optimization method and the within‐batch optimization method. The data‐driven tool with the joint‐Y partial least squares (JYPLS) model is utilized to transfer rich information from a similar old process to the new process to assist the establishment of the model of the new process. However, differences invariably exist between similar batch processes, which can bring about a fateful necessary condition of optimality (NCO) mismatch. Although the traditional batch‐to‐batch optimization method can overcome the problem of plant‐model mismatch between batches, it is helpless to deal with the problem of mismatch and disturbance during a single batch operation. For the sake of settlement of problems, the within‐batch optimization method is introduced. The main advantages of the integrated operation optimization strategy are (i) the plant‐model mismatch and disturbances within the batch or during batches can be solved, (ii) the suboptimal results of batch‐to‐batch optimization can be further compensated, and (iii) the optimization performance is better by discretizing the control profile into several intervals. Taking the cobalt oxalate synthesis process as a simulation study, the superior performance of the proposed strategy is illustrated.