Self-Adaptive PDLC Control Strategy With Smart Light Intensity Adjustment Using Photovoltaic-Thermoelectric Hybrid Energy Supply Technology

As an electronically controlled glass whose transmittance varies with voltage, polymer dispersed liquid crystal (PDLC) has the advantages of good privacy, high transmittance, fast response speed, and good heat shielding performance. It can be applied to electronically controlled building windows. Ho...

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Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 2023-10, Vol.70 (10), p.10146-10155
Main Authors: Wang, Ning, Wang, Ao, Zhang, Chen, Shan, Heng-Sheng, Jia, Hong-Zhi, Zheng, Ji-Hong, Liu, You-Rong, Zuo, Lei
Format: Article
Language:English
Subjects:
Adaptive control
Algorithms
Control algorithms
Control theory
Electric potential
Field programmable gate arrays
Glass
Heat shielding
Home environment
Illumination
Indoor environments
Intelligent environmental control
Lighting
Liquid crystals
Luminous intensity
PD control
Photovoltaic cells
Photovoltaic systems
polymer dispersed liquid crystal (PDLC)
Power consumption
Pulse duration modulation
self-adaptive control strategy
Sensors
Thermoelectricity
Transmittance
Voltage
Windows
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Summary:As an electronically controlled glass whose transmittance varies with voltage, polymer dispersed liquid crystal (PDLC) has the advantages of good privacy, high transmittance, fast response speed, and good heat shielding performance. It can be applied to electronically controlled building windows. However, PDLC needs to consume extra power, and electronically controlled PDLC has not yet been integrated with intelligent home environment control. In this article, we propose an adaptive variable voltage step-size fast control algorithm in field programmable gate array (FPGA)-based home environment control system, which is powered by photovoltaic-thermoelectric hybrid sources. The power supply voltage of the PDLC can be dynamically changed through the adaptive pulsewidth modulation (PWM) duty cycle adjustment technology to realize intelligent transmittance control, thereby improving the indoor lighting environment. Experimental results show that by applying the proposed algorithm, the indoor temperature is reduced by 2 °C, and the adaptive and stable regulation of the optimal indoor illumination of 500 Lux can be completed in less than 2.5 s. This article provides a feasible solution for the low-energy intelligent integrated control and monitoring of the modern home environment.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2022.3224166