Modeling of daily temperature mode in premises using a predictive controller

Authors

DOI:

https://doi.org/10.15587/1729-4061.2017.108574

Keywords:

simulation of thermal field of premises, predictive controller, pulse-width modulation (PWM), PWM control, heat supply to office building

Abstract

The goal of present work is to decrease electric power consumption in a building employing the developed control method that uses a prediction filter. To accomplish this goal, a model of the premises was constructed in the ANSYS Fluent software and a PWM predictive controller was synthesized. Modeling of daily state of the premises with maintenance of assigned temperature using the predictive controller, a two-position controller and a PID-control was performed. Results of modeling demonstrate that the use of predicting controller, taking into account parameters of the building, heating and ventilation systems, outdoor air temperature with maintaining minimal permissible operating air temperature in the premises at night, at weekends and on holidays, makes it possible to save heat resources. Refusal from continuous control and transition to the PWM predictive controller demonstrated a decrease in operating time of heating equipment by 2.3 times from 24 to 10.5 hours. The proposed control method showed the best controlling accuracy equal to 5 %, compared to a two-position control with hysteresis and a PID-control.

Author Biographies

Petro Kachanov, National Technical University «Kharkiv Polytechnic Institute» Kyrpychova str., 2, Kharkiv, Ukraine, 61002

Doctor of Technical Science, Professor

Department of automation and control systems

Oleg Yevseienko, National Technical University «Kharkiv Polytechnic Institute» Kyrpychova str., 2, Kharkiv, Ukraine, 61002

Postgraduate student

Department of automation and control systems

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Published

2017-08-24

How to Cite

Kachanov, P., & Yevseienko, O. (2017). Modeling of daily temperature mode in premises using a predictive controller. Eastern-European Journal of Enterprise Technologies, 4(2 (88), 33–41. https://doi.org/10.15587/1729-4061.2017.108574

Issue

Vol. 4 No. 2 (88) (2017): Information technology. Industry control systems

Section

Industry control systems

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Copyright (c) 2017 Petro Kachanov, Oleg Yevseienko

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