Application of MPC to industrial water boiler control system in district heat plant

Vansovits, Vitali; Petlenkov, Eduard; Vassiljeva, Kristina; Tepljakov, Aleksei; Belikov, Juri

doi:10.1109/icarcv.2014.7064556

Cited by 8 publications

(1 citation statement)

References 7 publications

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“…In 2013, Fernández-Seara et al conducted an experiment to test the performance of a space/water heating system using an on demand external domestic hot water (DHW) production system (DHWPS) with different control strategies; results show that the control strategy of the DHWPS significantly influences the quality of the DHW supply and the thermal performance of the storage tank [ 4 ]. In 2014, Vansovits et al designed a model predictive controller to identify industrial water boiler systems during a heating season, and its performance was compared with performance of classical proportional-integral (PI) control algorithm [ 5 ]. In 2015, an improved linear optimization model coupled with a computational iterative procedure of optimal discharges through pipes was developed by Sarbu et al on the basis of linear programming for the design of new or partially extended water distribution networks, and the proposed model was compared to some other models [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Robust Economic Control Decision Method of Uncertain System on Urban Domestic Water Supply

Wei

2018

IJERPH

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As China quickly urbanizes, urban domestic water generally presents the circumstances of both rising tendency and seasonal cycle fluctuation. A robust economic control decision method for dynamic uncertain systems is proposed in this paper. It is developed based on the internal model principle and pole allocation method, and it is applied to an urban domestic water supply system with rising tendency and seasonal cycle fluctuation. To achieve this goal, first a multiplicative model is used to describe the urban domestic water demand. Then, a capital stock and a labor stock are selected as the state vector, and the investment and labor are designed as the control vector. Next, the compensator subsystem is devised in light of the internal model principle. Finally, by using the state feedback control strategy and pole allocation method, the multivariable robust economic control decision method is implemented. The implementation with this model can accomplish the urban domestic water supply control goal, with the robustness for the variation of parameters. The methodology presented in this study may be applied to the water management system in other parts of the world, provided all data used in this study are available. The robust control decision method in this paper is also applicable to deal with tracking control problems as well as stabilization control problems of other general dynamic uncertain systems.

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Section: Introductionmentioning

confidence: 99%