Automatic Control System with an Autotuning Module and a Predictive PID-Algorithm for Thermal Processes

Merzlikina, E. I.; Va, Hoang Van; Farafonov, Georgiy

doi:10.1109/icieam51226.2021.9446467

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…Many controls and conventional approaches have been designed to meet optimization and thermal regulation needs. Proportional integral derivative (PID) control strategy remains an efficient tool in regulation [4], but its limitations are mainly related to the conceding of system constraints and predicting the systems events such as intermittent occupancy and unexpected climate variations. Other intelligent approaches have been proposed within the literature like fuzzy logic or neural networks [5]- [7], aimed toward reducing energy consumption while maintaining the specified performances, but they are computationally complex.…”

Section: Introductionmentioning

confidence: 99%

A constrained model predictive control for the building thermal management with optimal setting design

Boutchich

Moufid

Bennis

2023

IJECE

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<span lang="EN-US">Today, the building sector is the most important consumer of energy. The main challenge in building management is to obtain the desired performance taking into account many aspects such as comfort requirements, variation of building physical characteristics, system constraints, and energy management. For this purpose, a predictive control approach applied to the building thermal has been designed to achieve desired performances combined with an energy optimization approach based on intrinsic system parameters. The developed approach is applied with an online identification system for effective predictive control to take into account the reel building characteristics and to choose the optimal tuning parameters. The simulation results show good performances in terms of accuracy and robustness face to internal and external disturbances with respect to system constraints.</span>

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Section: Introductionmentioning

confidence: 99%

A constrained model predictive control for the building thermal management with optimal setting design

Boutchich

Moufid

Bennis

2023

IJECE

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“…For example, in [28], linear predictive PID controllers are effectively employed in a single-loop control system for a boiler superheater. In [29], the advantages of a control system with a prediction module are shown and recommendations are given for choosing the optimal prediction time for controlling the thermal process. Greater efficiency is provided by linear predictive controllers used in the control of DG plants: gas turbine [30], turbogenerator [31], and hydrogenerator [32].…”

Section: Introductionmentioning

confidence: 99%

Using Group Predictive Voltage and Frequency Regulators of Distributed Generation Plants in Cyber-Physical Power Supply Systems

2022

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The widespread use of distributed generation (DG) plants in cyber-physical power supply systems (CPPSS) requires solving the complex problem of setting their regulators. The presented study aimed to determine the performance of the group predictive voltage and frequency regulators of DG plants in CPPSS. These studies were conducted in the MatLab environment on the CPPSS models with gas turbine units and with a small-scale hydroelectric power plant. The proposed method for tuning group predictive regulators makes it possible to improve the quality control indices. The research has established that with an additional load connected, the maximum voltage dip is reduced by a factor of 3.5 compared to conventional control regulators. In addition, the time of a transient process for the generator rotor speed is decreased by a factor of 3. In the case of a short-term short circuit, predictive regulators can reduce the time of the transient process by a factor of 1.5 and the overshoot by more than 2 times. The simulation results have confirmed the efficiency of group predictive regulators when used in DG plants, i.e., improvement of the quality of control processes in various operating modes.

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Control System with a Predictive PID-Controller with a First-Order Filter: Estimation of the Efficiency for Thermal Proceses

Merzlikina

Sviridov

Va³

2022

Lecture Notes in Electrical Engineering

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Automatic Control System with an Autotuning Module and a Predictive PID-Algorithm for Thermal Processes

Cited by 5 publications

References 13 publications

A constrained model predictive control for the building thermal management with optimal setting design

A constrained model predictive control for the building thermal management with optimal setting design

Using Group Predictive Voltage and Frequency Regulators of Distributed Generation Plants in Cyber-Physical Power Supply Systems

Control System with a Predictive PID-Controller with a First-Order Filter: Estimation of the Efficiency for Thermal Proceses

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