Multi-model adaptive predictive control of superheated steam temperature of DSG solar parabolic-trough collector based on heat-steam ratio and its reference trajectory

Wang, Guangjun; Zhu, Qing Sheng; Yan, Fei; Chen, Hong

doi:10.1016/j.solener.2022.03.016

Cited by 7 publications

(3 citation statements)

References 34 publications

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“…In order to realize MMC, the complex nonlinear dynamic model expressed by Eq. (1) must be described by a set of simple and mostly linear local models [ 32 ]. For this purpose, a group of states and outputs (and sometimes control inputs) are selected by the designer as the scheduling variables.…”

Section: Preliminaries Conceptsmentioning

confidence: 99%

Unsupervised optimal model bank for multiple model control systems: Genetic-based automatic clustering approach

Fathi,

Bolandi

2024

Heliyon

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Section: Preliminaries Conceptsmentioning

confidence: 99%

Unsupervised optimal model bank for multiple model control systems: Genetic-based automatic clustering approach

Fathi,

Bolandi

2024

Heliyon

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“…Experimental findings showed that proposed method has good controlling effect. Wang et al 15 proposed multi‐model adaptive control algorithm to control solar outlet steam temperature. Working conditions were divided according to heat‐steam ratio.…”

Section: Introductionmentioning

confidence: 99%

Multi‐model predictive control of converter inlet temperature in the process of acid production with flue gas

Liu,

Li,

Wang

et al. 2024

Adaptive Control & Signal

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SummaryThe smelting of non‐ferrous metals produces substantial quantities of sulfur dioxide (SO)‐laden flue gas, which is seriously harmful to environment and humans. To improve the conversion ratio of SO and minimize environmental pollution, controlling converter inlet temperature during acid production has proven to be an efficient approach. However, unsteadiness of smelting procedure leads to frequent changes in the concentration of SO, which affects the catalytic conversion of SO and the production of sulfuric acid. To regulate converter inlet temperature, a proposed method of multi‐model predictive control is introduced. First, working conditions are divided and characterized according to the range of SO concentration. Then, the mathematical model is established for each working condition and the model predictive controller is designed. Finally, an effective switching mechanism is established to realize smooth switching under different working conditions and closed‐loop control of the whole system. Through simulation validation, compared with traditional single‐model predictive controllers and multi‐model PID controllers, the proposed approach demonstrates improved transient performance and steady‐state performance. Simulation outcomes clearly highlight the superiority of the proposed algorithm.

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“…In the report "Renewable Energy World Status Report" industry trends are presented with respect to biomass, geothermal energy, hydropower, ocean energy, concentrating solar thermal energy, solar heating, and wind power [1]- [3]. China, the United States, Turkey, Morocco, Denmark, Austria, and Iceland stand out as the points of greatest energy development [4]- [6]. In the case of Colombia, research focused on alternative electrical energy, biomass, and solar through solar panels can be mentioned, however, much importance has not been given to the development of other renewable energies [7]- [9].…”

Section: Introductionmentioning

confidence: 99%

A parabolic solar collector for harnessing solar energy in Bucaramanga, Colombia

Rincon-Quintero,

Sandoval-Rodriguez,

Angulo-Julio

et al. 2023

Sustainable Engineering and Innovation

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In this work, a solar energy collection system based on a parabolic solar collector adjusted to the conditions and availability of energy was designed to examine this type of collection device and evaluate the energy potential when installed in an educational institution. To do this, data from the historical series of solar radiation compiled by the POWER project (Prediction of Worldwide Energy Resources) were analyzed and compared with data from the Institute of Hydrology, Meteorology and Environmental Studies in Colombia (IDEAM).

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Multi-model adaptive predictive control of superheated steam temperature of DSG solar parabolic-trough collector based on heat-steam ratio and its reference trajectory

Cited by 7 publications

References 34 publications

Unsupervised optimal model bank for multiple model control systems: Genetic-based automatic clustering approach

Unsupervised optimal model bank for multiple model control systems: Genetic-based automatic clustering approach

Multi‐model predictive control of converter inlet temperature in the process of acid production with flue gas

A parabolic solar collector for harnessing solar energy in Bucaramanga, Colombia

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