Adjustment method of operation trajectory in batch operation applied to penicillin fermentation process

Abstract

The invention discloses a method for adjusting an operation trajectory during batch running based on a PPLS model. The method for adjusting the operation trajectory during batch running based on the PPLS model comprises the steps of establishing the PPLS model in the batch process; based on conditional probability distribution of product quality with respect to a principal element and conditionalprobability distribution of the principal element with respect to the operation trajectory, solving a design space of the operation trajectory according to expected product quality; giving a correlation between the operation trajectory and a subsequent reference trajectory; under the constraints of the operation trajectory on the design space, searching for the optimal condition (or conditional space) in the design space of the operation trajectory; according to the optimal condition (or conditional space), calculating the subsequent reference operation trajectory or operation trajectory space. The method has the advantages that in the actual batch production process, the reference operation trajectory is essential and is the criterion and guidance of the production activities, and a reference operation trajectory adjustment mode under a probability framework is given.

Description

technical field [0001] The invention relates to the field of technological condition design of batch process, in particular to a method for adjusting operation trajectory in batch operation based on PPLS model. Background technique [0002] Different product qualities in the batch process correspond to different operating trajectories, and when the trajectories change, the product quality is likely to change as well. In the batch process, the design of the operation trajectory usually belongs to the design category of the process conditions, so it is generally obtained from the perspective of the process. However, with the development of methods such as chemometrics and the accumulation of a large amount of data in the process, methods based on chemometric models are gradually introduced into the design of operating trajectories, such as operating trajectories based on partial least squares (PLS) models Design method (see literature for details: JaeckleCM, MacGregorJF. Indu...

AI Technical Summary

Problems solved by technology

[0005] However, as a deterministic model, the PLS model has great limitations when describing the actual industrial process data with inherent randomness

First of all, it is difficult to introduce probabilistic reasoning methods and Bayesian theory into the PLS model for reasoning and calculation. The model is powerless when dealing with practical problems such as outliers, multi-sampling rates, missing data, and multi-model expansion.

In addition, the operation trajectory adjustment based on the PLS model cannot take into account the space reduction between the operation trajectory and the pivot, thus greatly reducing the adjustment space

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