Self‐correcting modifier‐adaptation strategy for batch‐to‐batch optimization based on batch‐wise unfolded PLS model

Jia, Runda; Mao, Zhizhong; Wang, Fuli

doi:10.1002/cjce.22565

Cited by 17 publications

(17 citation statements)

References 50 publications

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“…These include recursive updating schemes and moving window approaches to reduce the amount of old data included that is often seen as more dissimilar to current batches. Adaptive updating schemes with forgetting factors can help deal with the presence of phases with fast as well as slow process changes and modifier‐adaptation (MA) strategies can help compensate the mismatch between the model and current data . Nearest‐neighbor methods have been developed to select those batches from historical data for model calculation that are the most similar to the current process .…”

Section: Setup Of Soft Sensors In An Industrial Environmentmentioning

confidence: 99%

Soft Sensor Applications in Industrial Vinylacetate‐ethylene (VAE) Polymerization Processes

Frauendorfer¹,

Hergeth²

2017

Macro Reaction Engineering

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Measuring product properties during vinylacetate‐ethylene (VAE) polymerizations can be difficult due to economic and technical limitations. The use of soft sensors, mathematical methods using available process data (current and historic), can be an effective solution to infer the sought after property and calculate properties not directly measurable. The setup of a soft sensor in an industrial environment for a long term, successful application needs to take into account several additional hurdles. These include the variability of the process, soft factors leading to the acceptance of this tool in production, and the effort needed for long‐term support and maintenance among others. These points are illuminated using the successful development and implementation of a VAE dispersion process based tile adhesive tensile strength soft sensor.

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Section: Setup Of Soft Sensors In An Industrial Environmentmentioning

confidence: 99%

Soft Sensor Applications in Industrial Vinylacetate‐ethylene (VAE) Polymerization Processes

Frauendorfer¹,

Hergeth²

2017

Macro Reaction Engineering

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“…In addition, the constrained batch optimization problem cannot be well resolved by only using the gradients obtained from an adaptive unfold‐PLS model. Lately, we have proposed to integrate the modifier‐adaptation (MA) strategy into the latent variable model‐based batch‐to‐batch optimization, and also proved that the BW‐PLS model based ILC is equivalent to the proposed batch‐to‐batch optimization strategy by using only a zero‐order modifier . Taking the advantages of the MA strategy, the plant‐model mismatch can be well resolved in the proposed method.…”

Section: Introductionmentioning

confidence: 97%

“…Lately, we have proposed to integrate the modifier-adaptation (MA) strategy into the latent variable model-based batch-to-batch optimization, and also proved that the BW-PLS model based ILC is equivalent to the proposed batch-to-batch optimization strategy by using only a zero-order modifier. [19] Taking the advantages of the MA strategy, the plant-model mismatch can be well resolved in the proposed method. However, the major weakness of the MA strategy based batch-to-batch optimization is that the experimental gradients should be exactly estimated, which is usually a difficult task in practice.…”

Section: Introductionmentioning

confidence: 99%

Combining just‐in‐time modelling and batch‐wise unfolded PLS model for the derivative‐free batch‐to‐batch optimization

2017

Self Cite

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In this work, a derivative‐free batch‐to‐batch optimization method is proposed. In order to conquer the difficulties in building a first principal model, a local batch‐wise unfolded PLS (BW‐PLS) model is used to accurately describe the concerned region, and the first principal model based dynamic optimization problem is transformed into a static one. The just‐in‐time (JIT) modelling method is employed to dynamically update the local BW‐PLS model upon request, and the nonlinearity and abrupt changes from one batch run to another can be effectively resolved. Then the proposed local BW‐PLS model with JIT modelling method is integrated into the trust‐region framework. Not only can the issue of plant‐model mismatch be dealt with, but also the computation of the experimental gradients can be avoided. In addition, taking the advantages of PLS regression, the Hotelling's T2 statistic is utilized as a hard constraint to ensure the reliability of the optimal solution. Extension to handle soft inequality constraints is also included in this work. Finally, the efficacy of the proposed batch‐to‐batch optimization method is illustrated via a toy example and a simulated cobalt oxalate synthesis process under different operating conditions, and satisfied optimization performances were obtained.

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“…[10] However, since the MVT is optimized only once offline, such a scheme may lead to suboptimal operation because of plant-model mismatch. [11,12] A self-tuning batch-to-batch optimization method is proposed by Camacho et al to optimize the feeding profile of the Saccharomyces cerevisiae cultivation, which is an extremum optimization controller based on the unfold-partial least squares (PLS) model. [13] However, the approach of adapting the local data-driven model iteratively to the current operation point may lead to a slow convergence rate.…”

Section: Introductionmentioning

confidence: 99%

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

Chu

Wang

et al. 2022

Can J Chem Eng

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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 datadriven 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 plantmodel 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.

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Self‐correcting modifier‐adaptation strategy for batch‐to‐batch optimization based on batch‐wise unfolded PLS model

Cited by 17 publications

References 50 publications

Soft Sensor Applications in Industrial Vinylacetate‐ethylene (VAE) Polymerization Processes

Soft Sensor Applications in Industrial Vinylacetate‐ethylene (VAE) Polymerization Processes

Combining just‐in‐time modelling and batch‐wise unfolded PLS model for the derivative‐free batch‐to‐batch optimization

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

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