Nonlinear Multiobjective MPC-Based Optimal Operation of a High Consistency Refining System in Papermaking

Li, Mingjie; Zhou, Ping; Wang, Hong; Chai, Tianyou

doi:10.1109/TSMC.2017.2748722

Title: Nonlinear Multiobjective MPC-Based Optimal Operation of a High Consistency Refining System in Papermaking

Full Record
Other Related Research

Abstract

As one of the most important unit in the papermaking industry, the high consistency (HC) refining system is confronted with challenges such as improving pulp quality, energy saving, and emissions reduction in its operation processes. Here in this correspondence, an optimal operation of HC refining system is presented using nonlinear multiobjective model predictive control strategies that aim at set-point tracking objective of pulp quality, economic objective, and specific energy (SE) consumption objective, respectively. First, a set of input and output data at different times are employed to construct the subprocess model of the state process model for the HC refining system, and then the Wiener-type model can be obtained through combining the mechanism model of Canadian Standard Freeness and the state process model that determines their structures based on Akaike information criterion. Second, the multiobjective optimization strategy that optimizes both the set-point tracking objective of pulp quality and SE consumption is proposed simultaneously, which uses NSGA-II approach to obtain the Pareto optimal set. Furthermore, targeting at the set-point tracking objective of pulp quality, economic objective, and SE consumption objective, the sequential quadratic programming method is utilized to produce the optimal predictive controllers. In conclusion, the simulation results demonstrate that themore »« less

Authors:

Li, Mingjie ^[1]; Zhou, Ping ^[1]; Wang, Hong ^[2]; Chai, Tianyou ^[1]

Northeastern Univ., Shenyang (China). State Key Lab. of Synthetical Automation for Process Industries
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

Publication Date:: Tue Sep 19 00:00:00 EDT 2017

Research Org.:: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

Sponsoring Org.:: USDOE; National Natural Science Foundation of China (NSFC)

OSTI Identifier:: 1413453

Report Number(s):: PNNL-SA-128830
Journal ID: ISSN 2168-2216

Grant/Contract Number:: AC05-76RL01830; 61473064; 61621004; 61333007; N160805001; N160801001

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Transactions on Systems, Man, and Cybernetics: Systems

Additional Journal Information:: Journal Volume: 50; Journal Issue: 3; Journal ID: ISSN 2168-2216

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 97 MATHEMATICS AND COMPUTING; Load modeling; Data models; Optimization; Production; Economics; Predictive models; Biological system modeling; normalsize High consistency (HC) refining system; nonlinear multiobjective model predictive control (MPC); optimal operation; pulp quality; specific energy (SE) consumption

Citation Formats


                    Li, Mingjie, Zhou, Ping, Wang, Hong, and Chai, Tianyou. Nonlinear Multiobjective MPC-Based Optimal Operation of a High Consistency Refining System in Papermaking.  United States: N. p., 2017. 
Web.  doi:10.1109/TSMC.2017.2748722.

Copy to clipboard


                    Li, Mingjie, Zhou, Ping, Wang, Hong, & Chai, Tianyou. Nonlinear Multiobjective MPC-Based Optimal Operation of a High Consistency Refining System in Papermaking.  United States.  https://doi.org/10.1109/TSMC.2017.2748722

Copy to clipboard


                    Li, Mingjie, Zhou, Ping, Wang, Hong, and Chai, Tianyou. Tue .  
"Nonlinear Multiobjective MPC-Based Optimal Operation of a High Consistency Refining System in Papermaking".  United States.  https://doi.org/10.1109/TSMC.2017.2748722.  https://www.osti.gov/servlets/purl/1413453.

Copy to clipboard


                    
@article{osti_1413453,

  title        = {Nonlinear Multiobjective MPC-Based Optimal Operation of a High Consistency Refining System in Papermaking},

  author       = {Li, Mingjie and Zhou, Ping and Wang, Hong and Chai, Tianyou},

  abstractNote = {As one of the most important unit in the papermaking industry, the high consistency (HC) refining system is confronted with challenges such as improving pulp quality, energy saving, and emissions reduction in its operation processes. Here in this correspondence, an optimal operation of HC refining system is presented using nonlinear multiobjective model predictive control strategies that aim at set-point tracking objective of pulp quality, economic objective, and specific energy (SE) consumption objective, respectively. First, a set of input and output data at different times are employed to construct the subprocess model of the state process model for the HC refining system, and then the Wiener-type model can be obtained through combining the mechanism model of Canadian Standard Freeness and the state process model that determines their structures based on Akaike information criterion. Second, the multiobjective optimization strategy that optimizes both the set-point tracking objective of pulp quality and SE consumption is proposed simultaneously, which uses NSGA-II approach to obtain the Pareto optimal set. Furthermore, targeting at the set-point tracking objective of pulp quality, economic objective, and SE consumption objective, the sequential quadratic programming method is utilized to produce the optimal predictive controllers. In conclusion, the simulation results demonstrate that the proposed methods can make the HC refining system provide a better performance of set-point tracking of pulp quality when these predictive controllers are employed. In addition, while the optimal predictive controllers orienting with comprehensive economic objective and SE consumption objective, it has been shown that they have significantly reduced the energy consumption.},

  doi          = {10.1109/TSMC.2017.2748722},

  journal      = {IEEE Transactions on Systems, Man, and Cybernetics: Systems},

  number       = 3,

  volume       = 50,

  place        = {United States},

  year         = {Tue Sep 19 00:00:00 EDT 2017},

  month        = {Tue Sep 19 00:00:00 EDT 2017}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Accepted Manuscript (DOE)

Publisher's Version of Record

https://doi.org/10.1109/TSMC.2017.2748722

Other availability

Search WorldCat to find libraries that may hold this journal

Citation Metrics:

Cited by: 9 works

Citation information provided by
Web of Science

Save / Share:

Export Metadata

Save to My Library

Similar Records in DOE PAGES and OSTI.GOV collections:

Data-Driven Robust M-LS-SVR-Based NARX Modeling for Estimation and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking

Journal Article Zhou, Ping ; Guo, Dongwei ; Wang, Hong ; ... - IEEE Transactions on Neural Networks and Learning Systems

Optimal operation of an industrial blast furnace (BF) ironmaking process largely depends on a reliable measurement of molten iron quality (MIQ) indices, which are not feasible using the conventional sensors. This paper proposes a novel data-driven robust modeling method for the online estimation and control of MIQ indices. First, a nonlinear autoregressive exogenous (NARX) model is constructed for the MIQ indices to completely capture the nonlinear dynamics of the BF process. Then, considering that the standard least-squares support vector regression (LS-SVR) cannot directly cope with the multioutput problem, a multitask transfer learning is proposed to design a novel multioutput LS-SVRmore »« less
Cited by 63
https://doi.org/10.1109/TNNLS.2017.2749412

Full Text Available
Data-Driven Predictive Probability Density Function Control of Fiber Length Stochastic Distribution Shaping in Refining Process

Journal Article Li, Mingjie ; Zhou, Ping ; Liu, Yunlong ; ... - IEEE Transactions on Automation Science and Engineering

Pulp is the most important raw material in paper industries, whose fiber length stochastic distribution (FLSD) shaping directly determines the energy consumption and paper quality of the subsequent papermaking processes. However, the mean and variance are insufficient to describe the FLSD shaping, which displays non-Gaussian distributional properties. Therefore, the traditional control method based on the mean and variance of the fiber length is difficult to control the FLSD shaping effectively. In this article, a novel data-driven predictive probability density function (PDF) control method is proposed for the FLSD shaping in the refining process. First, the PDF of FLSD shaping ismore »« less
Cited by 6
https://doi.org/10.1109/tase.2019.2939052

Full Text Available
Simulation, control and on-line optimization on mechanical pulping systems

Miscellaneous Strand, W C

The Refiner Energy Minimization (REM) system is a model-based analysis system for on-line control and optimization of refiner operation. The REM system consists of a detailed, mechanistic model which describes the effect of refining process conditions on shive reduction, fiber size distribution and freeness. In addition, the model predicts the effect of shives, fiber size distribution and freeness on strength and optical properties of the pulp. The REM system includes a specialized high frequency vibration monitoring system for characterizing plate condition and predicting its effect on the parameters of the refiner model. The vibration monitoring system provides continuous feed forwardmore »« less
Effects of low dosage electron irradiation on draft pulping and papermaking properties of southern pine wood

Thesis/Dissertation Nelson, D S

Changes in draft pulping and papermaking properties caused by irradiation of air dry and never dried southern pine wood with sterilizing doses of electron radiation were investigated. Delignification rates were not measurably altered by irradiation. Carbohydrate yields were reduced by ca. 1% (on OD wood) at 0.1 Mrad, 1.5% at 9.2 Mrad, and 2-2.5% at 0.4 Mrad. Losses of this magnitude were shown to be consistent with reported radiochemical yields of alkali sensitive moeities in cellulose when the direct effect of irradiation is magnified by alkaline peeling. Beating times required to reach target freeness levels were reduced by approximately 5%more »« less
Evaluation and Development of a Prototype Electrokinetic Sonic Amplitude (ESA) System for On-Line Measurement of Charge in Papermaking Process Streams

Technical Report Tucker, Brian J ; Good, Morris S

The papermaking industry uses an abundance of chemicals to control the process of papermaking. These chemicals are used to control everything from paper strength to brightness. Due to the natural variability of products used in papermaking, the chemistry of the process is heavily monitored. Cationic (charge) demand is one of the most important parameters in process control of papermaking. High variations in cationic demand result in off-spec final product or paper breaks resulting in wasted production and downtime. Both of these results are costly for papermakers due to high energy consumption and loss of revenue. Currently, cationic demand is measuredmore »« less
https://doi.org/10.2172/15016913

Full Text Available

Similar Records