MATLAB Toolbox For Self-Tuning Predictive Control Of Time-Delayed Systems

Holis, Radek; Bobál, Vladimír

doi:10.7148/2018-0205

Cited by 4 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, Garcia and Chua [24] proposed using a hybrid model composed of a gas and electric water heater for fast hot water supply responses while decreasing energy consumption and CO 2 emissions. Finally, Bobál et al [25,26] implemented a Smith predictor control approach for heat exchangers. However, the Smith predictor requires an accurate estimation of models and dead time; moreover, it is susceptible to the linearisation operating point and designed for fixed time delays.…”

Section: Introductionmentioning

confidence: 99%

Embedded Model Predictive Control of Tankless Gas Water Heaters to Enhance Users’ Comfort

Conceição,

Quintã,

Ferreira

et al. 2023

Machines

View full text Add to dashboard Cite

Water heating is a significant part of households’ energy consumption, and tankless gas water heaters (TGWHs) are commonly used. One of the limitations of these devices is the difficulty of keeping hot water temperature setpoints when changes in water flow occur. As these changes are usually unexpected, the controllers typically used in these devices cannot anticipate them, strongly affecting the users’ comfort. Moreover, considerable water and energy waste are associated with the long-time response to cold starts. This work proposes the development of a model predictive control (MPC) to be deployed in low-cost hardware, such that the users’ thermal comfort and water savings can be improved. Matlab/Simulink were used to develop, validate and automatically generate C code for implementing the controller in microcontroller-based systems. Hardware-in-the-loop simulations were performed to evaluate the performance of the MPC algorithm in 8-bit and 32-bit microcontrollers. A 6.8% higher comfort index was obtained using the implementation on the 32-bit microcontroller compared to the current deployments; concerning the 8-bit microcontroller, a 4.2% higher comfort index was achieved. These applications in low-cost hardware highlight that users’ thermal comfort can be successfully enhanced while ensuring operation safety. Additionally, the environmental impact can be significantly reduced by decreasing water and energy consumption in cold starts of TGWHs.

show abstract

Section: Introductionmentioning

confidence: 99%

Embedded Model Predictive Control of Tankless Gas Water Heaters to Enhance Users’ Comfort

Conceição,

Quintã,

Ferreira

et al. 2023

Machines

View full text Add to dashboard Cite

show abstract

“…It was concluded that the control strategy significantly influences the quality system performance and thermal performance. In the work conducted by (Costa, Ferreira and Guilherme, 2016) Bobal et al (Bobal et al, 2013) (Holiš and Bobál, 2007) (Holiš and Bobál, 2015) (Bobál et al, 2012) and (Bobál et al, 2014) implemented their own Matlab and Simulink toolboxes taking into consideration a Smith predictor control approach combined with different control strategies, namely digital PID, digital pole assignment, and model predictive control applied to the control of heat exchangers. Smith's predictor is a self-tuning method, and its main objective is to include time delay in the controller (Hang, Lim and Chong, 1989).…”

Section: Introductionmentioning

confidence: 99%

Predictive control strategies for optimizing temperature stability in instantaneous hot water systems

Ehtiwesh

Quintã

Ferreira

2021

Science and Technology for the Built Environment

View full text Add to dashboard Cite

Domestic hot water production is responsible for a significant part of domestic energy consumption; instantaneous gas heating devices are widely used because they don't require reservoirs, therefore have a competitive use/consumption ratio compared to other technologies. However, users' perception of comfort is severely affected by sudden changes in temperature outside the desired temperature. The instability of the water temperature with overshoots and undershoots is the most common disadvantage, which occurs mainly due to sudden changes in the water flow requested by users and the response delays inherent to the heating system. Traditional heat cell power controllers have difficulties in responding to these problems in a timely manner, as they don't have the capacity to anticipate the effects of sudden variations in water flowrate.In this work, predictive control strategies were developed which, due to its predictive nature, allows anticipating and correcting the negative effects of sudden variations of water flowrate in the temperature. A comparative analysis of model based predictive controllers (MPCs), with and without adaptive function, with traditional controllers used in the tankless gas water heaters (TGWHs) was carried out. Tests in a simulated environment demonstrated better performances in the stabilization of temperature during sudden changes in water flowrates.

show abstract

Gain scheduling model predictive controller design for tankless gas water heaters with time-varying delay

Quintã

Ehtiwesh²,

Martins

et al. 2022

Applied Thermal Engineering

View full text Add to dashboard Cite

MATLAB Toolbox For Self-Tuning Predictive Control Of Time-Delayed Systems

Cited by 4 publications

References 0 publications

Embedded Model Predictive Control of Tankless Gas Water Heaters to Enhance Users’ Comfort

Embedded Model Predictive Control of Tankless Gas Water Heaters to Enhance Users’ Comfort

Predictive control strategies for optimizing temperature stability in instantaneous hot water systems

Gain scheduling model predictive controller design for tankless gas water heaters with time-varying delay

Contact Info

Product

Resources

About