Abstract

Heating, ventilation, and air conditioning (HVAC) system is significant to the energy efficiency in buildings. In this paper, temperature control of HVAC system is studied in winter operation season. The physical model of the zone, the fan, the heating coil and sensor are built. HVAC is a non-linear, strong disturbance and coupling system. Linear active-rejection-disturbance-control is an appreciate control algorithm which can adapt to less information, strong-disturbance influence, and has relative-fixed structure and simple tuning process of the controller parameters. Active-rejection-disturbance-control of the HVAC system is proposed. Simulation in Matlab/Simulink was done. Simulation results show that linear active-rejection-disturbance-control was prior to PID and integral-fuzzy controllers in rising time, overshoot and response time of step disturbance. The study can provide fundamental basis for the control of the air-condition system with strong-disturbance and high-precision needed.

Highlights

  • HVAC is a typical complex system with non-linear, strong coupling and strong disturbance influence

  • Simulation results show that linear active-rejection-disturbance-control was prior to PID and integral-fuzzy controllers in rising time, overshoot and response time of step disturbance

  • In order to solve the above problem, some researches on the control strategies of HVAC system are done, such as fuzzy control of a simple HVAC model [3] [4], tuning parameters of fuzzy control based on genetic algorithm in HVAC system [5]

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Summary

Introduction

HVAC (heating, ventilation, and air conditioning, HVAC) is a typical complex system with non-linear, strong coupling and strong disturbance influence. Some researches show that ADRC is suitable for the control of complex system with non-linear, strong coupling and disturbance rejection capabilities [10] [11] [12]. In 2001, non-linear ADRC is simplified to linear active rejection disturbance control (LADRC) by Gao [13]. ADRC is applied in the temperature control of a zone in HVAC system [14] [15]. LADRC with strong disturbance rejection capabilities, self-decoupling and simple structure is applied in temperature control of the HVAC system. Simulation results show that LADRC has priority to PID and integral-Fuzzy control in rising time, overshooting and rejecting the step disturbance. The study can provide fundamental basis for high-precision requirement, rejection strong disturbance and reduce energy consumption of HVAC system

HVAC Model
Zone Model
Integral-Fuzzy Control in the Temperature of HVAC System
Simulation of the HVAC System
Conclusion
Full Text
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