Hot-rolled strip laminar cooling process plant-wide temperature monitoring and control

Zheng, Yongjun; Li, Ning; Li, Shaoyuan

doi:10.1016/j.conengprac.2012.09.004

Cited by 34 publications

(19 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to include the proposed extended decoupling strategy in the CVs predictions over , (3) is modified as follows: (14) where…”

Section: Do Modulementioning

confidence: 99%

“…Based on a firstprinciples mathematical model, the controller defines local furnace temperatures so that the slabs reach their desired final temperatures. In [14], an MPC based control method is developed for the accurate control of cooling temperature in a hot-rolled strip laminar cooling process exploiting a tailored extended Kalman filter to observe the spatial distribution of strip temperature in water cooling section.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Two-Layer Linear MPC Approach Aimed at Walking Beam Billets Reheating Furnace Optimization

Zanoli

Pepe

2017

Journal of Control Science and Engineering

View full text Add to dashboard Cite

In this paper, the problem of the control and optimization of a walking beam billets reheating furnace located in an Italian steel plant is analyzed. An ad hoc Advanced Process Control framework has been developed, based on a two-layer linear Model Predictive Control architecture. This control block optimizes the steady and transient states of the considered process. Two main problems have been addressed. First, in order to manage all process conditions, a tailored module defines the process variables set to be included in the control problem. In particular, a unified approach for the selection on the control inputs to be used for control objectives related to the process outputs is guaranteed. The impact of the proposed method on the controller formulation is also detailed. Second, an innovative mathematical approach for stoichiometric ratios constraints handling has been proposed, together with their introduction in the controller optimization problems. The designed control system has been installed on a real plant, replacing operators’ mental model in the conduction of local PID controllers. After two years from the first startup, a strong energy efficiency improvement has been observed.

show abstract

“…In order to include the proposed extended decoupling strategy in the CVs predictions over , (3) is modified as follows: (14) where…”

Section: Do Modulementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Two-Layer Linear MPC Approach Aimed at Walking Beam Billets Reheating Furnace Optimization

Zanoli

Pepe

2017

Journal of Control Science and Engineering

View full text Add to dashboard Cite

show abstract

“…Supported by the National Nature Science Foundation of China (61233004,61221003,61374109,61304078), the National Basic Research Program of China (973 Program-2013CB035500), and partly sponsored by the International Cooperation Program of Shanghai Science and Technology Commission (12230709600), the Higher Education Research Fund for the Doctoral Program of China (20120073130006,20110073110018), the Project of Science and Technology Commission of Shanghai Municipality (12dz1200203), and the China Postdoctoral Science Foundation (2013M540364). et al [2012], Zheng et al [2011bZheng et al [ , 2013a). Thus, this paper will proceed under the DMPC framework.…”

Section: Christofidesmentioning

confidence: 99%

Distributed Predictive Control for Building Temperature Regulation with Impact-Region Optimization

Zheng

2014

IFAC Proceedings Volumes

View full text Add to dashboard Cite

“…Reference [8] used compressor speed and the opening of expansion valve to control superheat and the pressure difference between condenser and evaporator at a fix point. Since MPC is good at dealing with the constraints, it is widely used in different fields [9,10]. The application of MPC also can be found in the research of the VCC systems, E.g.…”

Section: Introductionmentioning

confidence: 99%

Energy-saving-oriented control strategy for vapor compression refrigeration cycle systems

Yin¹,

Li²,

Li³

et al. 2014

2014 9th IEEE Conference on Industrial Electronics and Applications

Self Cite

View full text Add to dashboard Cite

Aiming at the disadvantage of system efficiency, a novel control strategy of maximizing energy saving while meeting the cooling demand for vapor compression refrigeration cycle (VCC) is presented. The VCC system is a core element in heating, ventilating, and air-conditioning (HVAC) system, and its coefficient of performance (COP), a measure of system efficiency for VCC system, is strongly influenced by the evaporator superheat and the pressure difference between evaporator and condenser, and the relationships between them are nonlinear thermodynamic coupling characteristics. In order to maximize the coefficient of performance (COP) which depends on operating conditions, in the meantime, meet the changing demands of cooling capacity, an analysis on the measured relationship between the setting value of stable superheat degree and cooling load is firstly carried out in this paper, then a model predictive control (MPC) based controller is developed for tracking the calculated setting curve of superheat and pressure difference based on model identified from experimental data. During the proposed control strategy, an optimization problem is solved which produces the maximal effect on the system performance. The effectiveness of the control performance is validated on the experimental rig.

show abstract

Hot-rolled strip laminar cooling process plant-wide temperature monitoring and control

Cited by 34 publications

References 28 publications

Two-Layer Linear MPC Approach Aimed at Walking Beam Billets Reheating Furnace Optimization

Two-Layer Linear MPC Approach Aimed at Walking Beam Billets Reheating Furnace Optimization

Distributed Predictive Control for Building Temperature Regulation with Impact-Region Optimization

Energy-saving-oriented control strategy for vapor compression refrigeration cycle systems

Contact Info

Product

Resources

About