Dead Band Zone Model Predictive Control of Cut Tobacco Drying Process

Chen, Angang; Ren, Zhigang; Fan, Zhi‐Ping; Xue, Feng

doi:10.1109/access.2020.3020469

Cited by 5 publications

(1 citation statement)

References 29 publications

(36 reference statements)

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“…In particular, Zhou et al [20] obtained a set of optimal setting curves of the input variables based on a multi-sampling-rate RBF-ARX (MSR-RBF-ARX) model which was, once again, tested only by simulation studies. Other researchers, Chen et al [21], applied an L1-Norm model predictive controller with a dead zone to cut tobacco dryers. Such controller was used in an L1-Norm moving horizon estimator to provide state and parameter estimation.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Control in the Application of a Rotary Dryer for Reduction in the Over-Drying of Cut Tobacco

et al. 2021

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The drying process is fundamental for cut tobacco processing. However, there are some problems related to the drying process such as overheating, or inconsistent control of moisture content. This paper shows how an intelligent controller is designed for an industrial rotary drying system. This controller is applied to a tobacco production unit to reduce overdried cut tobacco and improve the overall unit performance. The proposed control system aims to keep the content of moisture at the dryer outlet as close as possible to the optimal value and improve the homogeneity of the product without any operator intervention. The study shows that, if a reduction of humidity in the cut tobacco drying process is achieved using AI, the quality of the final product improves. In particular, if compared to regulatory control, the proposed method constantly monitors and adjusts the moisture content level in order to reduce the amount of overdried product. The findings of this paper indicate that the suggested process can save at least 222.2 kg of cut tobacco for each batch in the first stage of the drying process.

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Section: Introductionmentioning

confidence: 99%

Intelligent Control in the Application of a Rotary Dryer for Reduction in the Over-Drying of Cut Tobacco

et al. 2021

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Advanced embedded generalized predictive controller based on fuzzy gain scheduling for agricultural sprayers with dead zone nonlinearities

Schutz,

Mercaldi,

Peñaloza

et al. 2024

Journal of Process Control

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Multi-objective predictive control based on the cutting tobacco outlet moisture priority

Fan

Ren

Chen³

2023

Sci Rep

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In this paper, we propose a new priority multi-objective optimization strategy of system output variables in cutting tobacco process. The proposed strategy focuses on the cutting tobacco moisture-controlled output variables optimization in feasible regions with two levels according to the priority. This study aims to provide a novel technical support for the chemical industry contained drying process. In order to alleviate the lack of degree of freedom of the system, strict set-point control is given, meanwhile, other output variables adopt zone control. Firstly, the system control output variables are optimized in ascending order of priority. Secondly, the specific lower-level target constraints are first relaxed. Finally, the relaxation of other high-priority target constraints is stopped when the optimization is feasible. Thus, the system control output variables move along the optimal target trajectory. From the perspective of practical application of engineering, under the condition of disturbance existing in the cutting tobacco drying process, the simulation shows that the proposed approach has good robustness when there is disturbance, and the previous method cannot meet the control requirement. The proposed strategy meanwhile has better tracking effect through single and multiple output variables simulation, which compared with traditional predictive control in real cutting tobacco drying process.

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Dead Band Zone Model Predictive Control of Cut Tobacco Drying Process

Cited by 5 publications

References 29 publications

Intelligent Control in the Application of a Rotary Dryer for Reduction in the Over-Drying of Cut Tobacco

Intelligent Control in the Application of a Rotary Dryer for Reduction in the Over-Drying of Cut Tobacco

Advanced embedded generalized predictive controller based on fuzzy gain scheduling for agricultural sprayers with dead zone nonlinearities

Multi-objective predictive control based on the cutting tobacco outlet moisture priority

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