A multi-model predictive control method for the Pichia pastoris fermentation process based on relative error weighting algorithm Article Swipe
Bo Wang
,
Mengyi He
,
Xingyu Wang
,
Hongyu Tang
,
Xianglin Zhu
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.aej.2022.03.004
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.aej.2022.03.004
The Pichia pastoris fermentation process is with highly nonlinear and time-varying and strong coupling characteristics, traditional control methods such as classic PID cannot satisfy the actual needs of the fermentation process control. In order to effectively solve the control problem of the Pichia pastoris fermentation process, a multi-model predictive control method is presented based on the relative error weighting algorithm. First, the prior sample data are divided into multiple training sample sets (sample cluster) by fuzzy C-means clustering algorithm (FCM). Then, the corresponding sub prediction model is obtained by using least square support vector machine (LSSVM) and Improved particle swarm optimization (IPSO) algorithm for each sample cluster. Finally, the control strategy of predictive model is constructed based on multi model relative error weighting algorithm. The simulation in the Pichia pastoris fermentation process shows that the algorithm proposed in this paper could improve the transient response and perform good output tracking in a wide range. It improves the adaptive ability of the model and makes it more accurate to describe the actual state of the nonlinear system.
Related Topics
Concepts
Pichia pastoris
Weighting
Model predictive control
Cluster analysis
Initialization
Particle swarm optimization
Computer science
Algorithm
Mathematical optimization
Mathematics
Artificial intelligence
Control (management)
Programming language
Medicine
Recombinant DNA
Gene
Chemistry
Radiology
Biochemistry
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.aej.2022.03.004
- OA Status
- gold
- Cited By
- 7
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4220880933
All OpenAlex metadata
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https://openalex.org/W4220880933Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.aej.2022.03.004Digital Object Identifier
- Title
-
A multi-model predictive control method for the Pichia pastoris fermentation process based on relative error weighting algorithmWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-03-28Full publication date if available
- Authors
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Bo Wang, Mengyi He, Xingyu Wang, Hongyu Tang, Xianglin ZhuList of authors in order
- Landing page
-
https://doi.org/10.1016/j.aej.2022.03.004Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.aej.2022.03.004Direct OA link when available
- Concepts
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Pichia pastoris, Weighting, Model predictive control, Cluster analysis, Initialization, Particle swarm optimization, Computer science, Algorithm, Mathematical optimization, Mathematics, Artificial intelligence, Control (management), Programming language, Medicine, Recombinant DNA, Gene, Chemistry, Radiology, BiochemistryTop concepts (fields/topics) attached by OpenAlex
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7Total citation count in OpenAlex
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2025: 1, 2024: 3, 2023: 2, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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35Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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