Robust Sliding Mode Control of Air Handling Unit for Energy Efficiency Enhancement

Shah, Awais Aziz; Huang, Deqing; Chen, Yixing; Kang, Xin; Qin, Na

doi:10.3390/en10111815

Cited by 19 publications

(18 citation statements)

References 31 publications

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“…This section discusses the related works available in the literature. Shah et al [30] propose a sliding mode controller to provide a vigorous operating performance of AHU during disturbances. In this investigation, a PID controller has used a baseline for control performance indication.…”

Section: State Of the Art Analysismentioning

confidence: 99%

An Efficient HVAC Network Control for Safety Enhancement of a Typical Uninterrupted Power Supply Battery Storage Room

et al. 2021

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Lead-acid batteries utilised in electrical substations release hydrogen and oxygen when these are charged. These gases could be dangerous and cause a risk of fire if they are not properly ventilated. Therefore, this research seeks to design and implement a network control panel for heating, ventilation, and air conditioning system (HVACS). This is achieved by using a specific range of controllers, which have more than thirty loops of proportional, integral, and derivative (PID) control to achieve a cost-effective design. It performs the required function of extracting hydrogen and oxygen, maintaining the desired temperature of the battery storage room within recommended limits (i.e., 25 ± 1 °C tolerance) without compromising quality, as set out in the user requirement specification. The system control panel allows the user to access control parameters such as changing temperature set-points, fan-speed, sensor database, etc. It does this automatically and allows no human interface after all necessary settings and installation are completed. The hardware is configured to detect extreme hydrogen and oxygen gas content in the battery room and to ensure that the HVACS extracts the gas content to the outside environment. The system’s results show that the network control panel operates effectively as per the recommended system requirements. Therefore, the effective operation of the HVACS ensures sufficient gas ventilation, thus mitigating the risk of fire in a typical battery storage room. Furthermore, this also enhances battery lifespan because of regulated operating temperature, which is conducive to minimise the effect of sulfation in lead–acid batteries (LAB). The extraction of toxic gases, regulation of temperature, ensuring suitable humidity in UPS battery room is important as it provides longer operational service of equipment, thus reducing frequent maintenance in these rooms. This benefits the electricity supply industry and helps in saving for unplanned maintenance costs.

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Section: State Of the Art Analysismentioning

confidence: 99%

An Efficient HVAC Network Control for Safety Enhancement of a Typical Uninterrupted Power Supply Battery Storage Room

et al. 2021

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“…The new air-conditioning and oxygen supply control system for the running airconditioned train in Qinghai-Tibet Railway has been introduced in (Li and Wang, 2015). Sliding mode control (SMC), which is also an integral part of this research, was already applied on HVAC system in buildings energy consumption area (Shah et al, 2017, Shah et al, 2018. Unlike all the referenced sources, the research discussed in this paper contributes specifically the following: a description of HVAC and thermodynamic models for a tram is presented and a controller concept is introduced that takes into account thermal comfort and energy usage.…”

Section: Introductionmentioning

confidence: 99%

Advanced Sliding Mode Control of Heating and Ventilation Unit in a Light Rail Vehicle

Shah¹,

Huang²,

Huang³

et al. 2021

STUD INFORM CONTROL

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There is a pressing need for energy management with regard to modern rail vehicles, particularly in the case of electric vehicles (EVs), where various forms of energy and loads have to be considered for vehicle running. Air conditioning is an essential factor that ought to be profoundly analysed, as it can account for a significant proportion of electricity demand. This paper considers a lumped-parameter type thermal model of the passenger compartment of a tram in the presence of parametric uncertainties and external disturbances with an optimized heating, ventilating and air conditioning (HVAC) system configuration. To overcome the aforementioned problem, a decoupled sliding mode control (SMC) is designed with the purpose of enabling a lower energy usage and providing the thermal comfort conditions in a tram as an efficient and durable control strategy. The temperature and concentration of carbon dioxide (CO2) are regulated in a desirable way. A proportional, integral and derivative (PID) controller is employed for comparison purposes and for validating the proposed control scheme. According to the findings of this paper, the SMC outperforms the PID controller in terms of fast tracking and steady state for the desired tracking targets.

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“…A nonlinear sliding mode controller has been proposed in [ 25 ] by coupling humidity and temperature for energy efficient working of HVAC. The proposed technique has surpassed the conventional PID controller in terms of steady state, settling and rise time.…”

Section: Introductionmentioning

confidence: 99%

IoT Operating System Based Fuzzy Inference System for Home Energy Management System in Smart Buildings

Ain

Iqbal

Khan

et al. 2018

Sensors

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Energy consumption in the residential sector is 25% of all the sectors. The advent of smart appliances and intelligent sensors have increased the realization of home energy management systems. Acquiring balance between energy consumption and user comfort is in the spotlight when the performance of the smart home is evaluated. Appliances of heating, ventilation and air conditioning constitute up to 64% of energy consumption in residential buildings. A number of research works have shown that fuzzy logic system integrated with other techniques is used with the main objective of energy consumption minimization. However, user comfort is often sacrificed in these techniques. In this paper, we have proposed a Fuzzy Inference System (FIS) that uses humidity as an additional input parameter in order to maintain the thermostat set-points according to user comfort. Additionally, we have used indoor room temperature variation as a feedback to proposed FIS in order to get the better energy consumption. As the number of rules increase, the task of defining them in FIS becomes time consuming and eventually increases the chance of manual errors. We have also proposed the automatic rule base generation using the combinatorial method. The proposed techniques are evaluated using Mamdani FIS and Sugeno FIS. The proposed method provides a flexible and energy efficient decision-making system that maintains the user thermal comfort with the help of intelligent sensors. The proposed FIS system requires less memory and low processing power along with the use of sensors, making it possible to be used in the IoT operating system e.g., RIOT. Simulation results validate that the proposed technique reduces energy consumption by 28%.

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Robust Sliding Mode Control of Air Handling Unit for Energy Efficiency Enhancement

Cited by 19 publications

References 31 publications

An Efficient HVAC Network Control for Safety Enhancement of a Typical Uninterrupted Power Supply Battery Storage Room

An Efficient HVAC Network Control for Safety Enhancement of a Typical Uninterrupted Power Supply Battery Storage Room

Advanced Sliding Mode Control of Heating and Ventilation Unit in a Light Rail Vehicle

IoT Operating System Based Fuzzy Inference System for Home Energy Management System in Smart Buildings

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