Development of a Model Based Predictive Control System for Heating Buildings

Bosschaerts, Walter; Renterghem, Tijs Van; Hasan, Ola Alhaj; Limam, Karim

doi:10.1016/j.egypro.2017.03.1110

Cited by 7 publications

(2 citation statements)

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“…On the other hand, these kinds of controllers have complex structures, are higher in price, and are difficult to troubleshoot. The third type of controller is the MPC (model predictive-based irrigation) controller, which is widely used in agriculture and other industries [214][215][216][217][218]. By installing MPC controllers instead of classical controllers on sprinkler irrigation machines, many benefits including good efficiency, excellent performance, and optimality can be achieved toward the true spirit of precision [219].…”

Section: Use Of Controlling Devices For Precision Applications Of Spr...mentioning

confidence: 99%

Advances in Sprinkler Irrigation: A Review in the Context of Precision Irrigation for Crop Production

Chauhdary,

Li,

Jiang

et al. 2023

Agronomy

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The non-judicious use of water at the farm level in traditional irrigation application methods is a present-day concern across the world that can be resolved by enhancing application efficiency through the adoption of advanced irrigation techniques. Sprinkler irrigation is a method that has high application efficiency, which can be further increased when coupled with automation toward precision irrigation. The objectives of this review are to summarize the main aspects of sprinkler and precision irrigation and their development, scope, and future prospects specifically in Asian countries. In this paper, a modified methodology, inspired by PRISMA guidelines, was used to explore the available literature to summarize the existing knowledge in the field. Regarding the technological aspects of the analyzed works, it became evident that sprinkler systems are an efficient method to not only irrigate crops (with 39% water saving) but also for the application of fertilizers with higher efficiency (>35%) and water productivity (>14.1%) compared with gravity irrigation systems. Moreover, this paper highlights the prominent features of precision irrigation for maximizing agricultural productivity. The use of sprinkler irrigation with precision applications using automation with a sensor-based mechanism for field data collection, data transformation, data analysis, and operation of IoT-based automatic solenoid valves can save 20–30% more irrigation water and increase crop yield by 20–27%. An analytical understanding and knowledge of the field were used to draw conclusions that are thought-provoking for scientists, researchers, and other stakeholders.

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Section: Use Of Controlling Devices For Precision Applications Of Spr...mentioning

confidence: 99%

Advances in Sprinkler Irrigation: A Review in the Context of Precision Irrigation for Crop Production

Chauhdary,

Li,

Jiang

et al. 2023

Agronomy

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show abstract

“…MPC algorithms with parameterisation using Laguerre functions have been developed for different technological processes. Example applications include buildings (Bosschaerts et al, 2017), wave energy converters (Jama et al, 2018), magnetically actuated satellites (Kim et al, 2018), wind turbines (Lasheen et al, 2017), hexacopters (Ligthart et al, 2017) and power systems (Zheng et al, 2017). This work shortly presents a nonlinear MPC algorithm for processes with complex dynamics which combines two concepts: on-line trajectory linearisation and parameterisation using Laguerre functions.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear model predictive control for processes with complex dynamics: A parameterisation approach using Laguerre functions

Ławryńczuk¹

2020

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Classical model predictive control (MPC) algorithms need very long horizons when the controlled process has complex dynamics. In particular, the control horizon, which determines the number of decision variables optimised on-line at each sampling instant, is crucial since it significantly affects computational complexity. This work discusses a nonlinear MPC algorithm with on-line trajectory linearisation, which makes it possible to formulate a quadratic optimisation problem, as well as parameterisation using Laguerre functions, which reduces the number of decision variables. Simulation results of classical (not parameterised) MPC algorithms and some strategies with parameterisation are thoroughly compared. It is shown that for a benchmark system the MPC algorithm with on-line linearisation and parameterisation gives very good quality of control, comparable with that possible in classical MPC with long horizons and nonlinear optimisation.

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Introduction to Model Predictive Control

Ławryńczuk

2021

Nonlinear Predictive Control Using Wiener Models

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Development of a Model Based Predictive Control System for Heating Buildings

Cited by 7 publications

References 1 publication

Advances in Sprinkler Irrigation: A Review in the Context of Precision Irrigation for Crop Production

Advances in Sprinkler Irrigation: A Review in the Context of Precision Irrigation for Crop Production

Nonlinear model predictive control for processes with complex dynamics: A parameterisation approach using Laguerre functions

Introduction to Model Predictive Control

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