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In this paper, a novel dual optimization method based on process transfer model is proposed for the quality optimization control for new batch process, which combines within batch optimization method and batch-to-batch modifier-adapt strategy. Firstly, a process transfer model, JY-PLS, is applied to solve the problem that the number of new batch process data is not sufficient to built reliable latent variable process model, which transfer the data information from a based and similar batch process to the aimed new process. However, there are always difference between similar batch processes, which lead to serious plant-model mismatch. In order to cope with this problem, MCC control method is utilized to determine the optimization points and optimal setting compensation method is used to eliminate the gap between suboptimal and optimal, especially for solving the within-batch mismatch. In addition, batch-to-batch modifier adaptation is used to further overcome the batch-to-batch disturbance and solve the plant-model mismatch. Finally, the proposed approach is illustrated on the cobalt oxalate synthesis process.

A dual modifier adaptation optimization strategy based on process transfer model for new batch process