Batch-to-batch optimization method of batch process by combining medium-term correction strategy

An optimization method and strategy technology, applied in the information field, can solve problems such as unknown disturbance, model and object mismatch, etc.

Inactive Publication Date: 2010-10-27
杭州坤天自动化系统有限公司
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Problems solved by technology

In order to solve the problem of model and object mismatch and unknown disturbance, a recursive algorithm is used to update the original NLPLS model according to the newly obtained data and old model parameters after each batch

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  • Batch-to-batch optimization method of batch process by combining medium-term correction strategy

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Embodiment Construction

[0048] A batch-to-batch optimization method for a batch process combined with a mid-term correction strategy, the specific steps are:

[0049] Step (1) is based on the process database and establishes a quality variable prediction model based on nonlinear partial least squares (NLPLS), and the specific method is:

[0050] a. Collect process operation data through the data acquisition device, use the collected process operation data as a data-driven sample set, use control operation variables as input, and final product quality variables as output to establish an NLPLS quality variable prediction model; each batch The data pair of the second time is expressed as {x(k)} and {y(k)}, x(k) represents the control operation variable data of the kth batch, and y(k) represents the product quality variable data of the kth batch; the input The data constitutes the input matrix X, and the output data constitutes the output matrix Y;

[0051] b. Establish NLPLS quality variable prediction...

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Abstract

The invention relates to a batch-to-batch optimization method of a batch process by combining a medium-term correction strategy. The method comprises the following steps: firstly establishing a quality variable predictive model of an NLPLS, and carrying out prediction on final product quality according to control operation variables of the process; on the basis of the model, calculating an optimal control strategy and implementing the optimal control strategy on a practical device; adopting a recurrence algorithm to carry out updating on the original NLPLS model according the newly-obtained data and old model parameters after each batch is finished; then solving the optimal control strategy again and implementing the optimal control strategy on an object; generally, after several batches, leading the control strategy to converge a satisfactory solution; and simultaneously, in order to process the interference in batches, adopting the medium-term correction strategy, utilizing new information obtained by the current batch to carry out correction on the latter control strategy. The method combines the batch-to-batch optimization and the medium-term correction strategy, makes up the insufficiency that the traditional batch-to-batch optimization method can not process the interference in batches and improves the control performance.

Description

technical field [0001] The invention belongs to the field of information technology, and relates to a batch-to-batch optimization method for an intermittent process combined with a mid-term correction strategy. Background technique [0002] With the promotion of agile manufacturing technology, more and more attention has been paid to the batch process suitable for the production of small batches of high value-added products. For maximum economic benefit, process operation should be optimized. In the batch process, many quality indicators cannot be measured online. Usually, after a batch is over, the quality of the final product is judged according to the product sampling analysis value, so as to adjust the next batch, and the product of this batch The quality cannot be changed. In order to better control the product quality, it is necessary to establish a mechanism or statistical model for the batch process, and predict the product quality according to the control operatio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/00G06Q10/04
Inventor 葛铭李春富魏江郑小青郑松
Owner 杭州坤天自动化系统有限公司
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