Design of Fuzzy-PI Decoupling Controller for the Temperature and Humidity Process in HVAC System

Mien, Trinh Luong

doi:10.17577/ijertv5is010473

Cited by 7 publications

(6 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Studies have highlighted the limitations of PID controllers in dealing with non-linear systems and rapidly changing inputs [16]. Despite these limitations, PID controllers' application in HVAC systems remains prevalent, primarily due to their simplicity and ease of implementation [17].…”

Section: A Pid Control Systems In Building Environmentsmentioning

confidence: 99%

Intelligent Fuzzy-PID Temperature Control System for Ensuring Comfortable Microclimate in an Intelligent Building

Abdrakhmanov,

Berkimbayev,

Seitmuratov

et al. 2024

IJACSA

View full text Add to dashboard Cite

In an era characterized by the growing significance of energy-efficient and human-centric environmental control systems, this research endeavors to investigate the efficacy of a Fuzzy Proportional-Integral-Derivative (PID) control approach for temperature regulation within Heating, Ventilation, and Air Conditioning (HVAC) systems. The study leverages the adaptability and robustness of fuzzy logic to dynamically tune the PID controller's parameters in response to changing environmental conditions. Through comprehensive simulations and comparative analyses, the research showcases the superior performance of the proposed fuzzy PID control system in terms of rapid response, overload avoidance, and minimal steady-state error, particularly when contrasted with conventional PID control and model predictive control (MPC) methodologies. Furthermore, the research extends its scope to assess the control system's resilience in the face of significant load variations, affirming its practical applicability in real-world HVAC scenarios. Beyond its immediate implications for HVAC systems, this research underscores the broader potential of fuzzy PID control in enhancing control precision and adaptability across various domains, including robotics, industrial automation, and process control. By advocating for future research endeavors in optimizing fuzzy membership functions, implementing real-time solutions, and exploring multi-objective optimization, among other avenues, this study seeks to contribute to the ongoing discourse surrounding advanced control strategies for achieving energy-efficient and human-centric environmental regulation.

show abstract

Section: A Pid Control Systems In Building Environmentsmentioning

confidence: 99%

Intelligent Fuzzy-PID Temperature Control System for Ensuring Comfortable Microclimate in an Intelligent Building

Abdrakhmanov,

Berkimbayev,

Seitmuratov

et al. 2024

IJACSA

View full text Add to dashboard Cite

show abstract

“…Additionally, the controller considers the rate of change of this error over time, which is essentially the first derivative of the temperature variation within a given computational cycle. This rate of change is measured in °C/min and provides insight into the dynamic behavior of the temperature within the environment [47].…”

Section: Mathematical Modelmentioning

confidence: 99%

“…FLCs do not require mathematical modeling [13] and are capable of handling various criteria, representing the dynamics of HVAC systems based on a knowledge-driven approach. Their efficiency and reduced power consumption, compared to PID controllers, have been demonstrated in recent studies [14,15]. www.ijacsa.thesai.org This paper is structured as follows: Section II reviews related literature, focusing on comfort parameters, control techniques, current challenges in control methods, and future perspectives.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Fuzzy-PID Controller for Supporting Comfort Microclimate in Smart Homes

Katayev,

Zhakish,

Kulmyrzayev

et al. 2024

IJACSA

View full text Add to dashboard Cite

Addressing the challenge of ensuring a comfortable indoor environment in both commercial and residential buildings through the use of heating, ventilation, and air conditioning (HVAC) systems is a critical issue. This challenge is intricately connected to the development of sophisticated multi-channel controllers to regulate temperature and humidity effectively. This academic discussion initially focuses on the development and examination of a complex, interactive, nonlinear mathematical model that encapsulates the ideal parameters for temperature and humidity to achieve the desired comfort levels. The paper then progresses to explore various methodologies in the design of temperature and humidity control systems. It delves into the traditional Proportional-Integral-Derivative (PID) controllers, a mainstay in the industry, and extends to more advanced iterations. These include the integration of PID controllers with distinct decoupled controllers and the innovative combination of PID controllers with self-adjusting parameters, which are informed by the principles of fuzzy logic. This combination is particularly significant for the processes of heating and humidification. Subsequently, the paper presents the results obtained from simulations conducted on a proposed fuzzy-PID controller using Matlab, a widely used computational tool. These simulations are crucial in evaluating the efficacy of the controller design. Additionally, the paper offers an analysis of experimental data collected over a six-month period. This data is instrumental in assessing the real-world performance of the proposed system, providing valuable insights into its practical applicability and effectiveness in managing indoor climate conditions. In summary, this comprehensive study not only lays the groundwork for an interactive model for climate control but also compares various controller designs, culminating in the proposal and evaluation of an advanced fuzzy-PID controller. This work stands as a significant contribution to the ongoing efforts to enhance indoor climate control in buildings.

show abstract

“…Based on the literature [42][43][44][45][46], the air-conditioning systems consists of one air handling unit (AHU) which supplies air to VAV terminals using the supply and return fans and the VAV system which is cooled by chilled water coming from the AHU coil. Therefore, the desired condition within the system is regulated by local controllers.…”

Section: Proposed Control Design For the Air Conditioning Systemmentioning

confidence: 99%

Finite Time Disturbance Observer Based on Air Conditioning System Control Scheme

et al. 2023

View full text Add to dashboard Cite

A novel robust finite time disturbance observer (RFTDO) based on an independent output-finite time composite control (FTCC) scheme is proposed for an air conditioning-system temperature and humidity regulation. The variable air volume (VAV) of the system is represented by two first-order mathematical models for the temperature and humidity dynamics. In the temperature loop dynamics, a RFTDO temperature (RFTDO-T) and an FTCC temperature (FTCC-T) are designed to estimate and reject the lumped disturbances of the temperature subsystem. In the humidity loop, a robust output of the FTCC humidity (FTCC-H) and RFTDO humidity (RFTDO-H) are also designed to estimate and reject the lumped disturbances of the humidity subsystem. Based on Lyapunov theory, the stability proof of the two closed-loop controllers and observers is presented. Comparative simulations are carried out to confirm that the proposed controller outperforms conventional methods and offers greater accuracy of temperature, humidity, and carbon dioxide concentration, having superior regulation performance in terms of a rapid finite time convergence, an outstanding disturbance rejection property, and better energy consumption. In addition to presenting the comparative simulation results from the control applications on the VAV system, the quantitative values are provided to further confirm the superiority of the proposed controller. In particular, the proposed method exhibits the shortest settling time of, respectively, 15 and 40 min to reach the expected temperature and humidity, whereas other comparative controllers require a longer time to settle down.

show abstract

Design of Fuzzy-PI Decoupling Controller for the Temperature and Humidity Process in HVAC System

Cited by 7 publications

References 10 publications

Intelligent Fuzzy-PID Temperature Control System for Ensuring Comfortable Microclimate in an Intelligent Building

Intelligent Fuzzy-PID Temperature Control System for Ensuring Comfortable Microclimate in an Intelligent Building

An Intelligent Fuzzy-PID Controller for Supporting Comfort Microclimate in Smart Homes

Finite Time Disturbance Observer Based on Air Conditioning System Control Scheme

Contact Info

Product

Resources

About