Study of software control systems for dynamic lighting parameters

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In poultry farming, the use of dynamic lighting systems with variable luminous flux and correlated color temperature of optical radiation of LED lamps is promising. Software control systems are used for precise control of the parameters of such lighting systems. The aim of the study was to assess the quality of the software control systems for the illumination level of the bottom of the feeder and the correlated color temperature of optical radiation of LED lamps in the dynamic local lighting system for cages for keeping agricultural poultry. Software control of the specified illumination level and correlated color temperature of optical radiation during the light period was carried out in accordance with mathematical models of changes in natural sunlight. The quality of the software control systems was assessed using the graphs of transient processes obtained from the results of computer modeling in the domestic SimInTech program. In the course of the research, a structural modeling diagram was developed and the desired transient processes were obtained. Analysis of the obtained transient processes showed that they meet the requirements for the quality of software control of the illumination level of the bottom of the poultry feeder and the correlated color temperature of the optical radiation of local LED lamps. Discretization of the digital light sensor and PWM signals for controlling the light fluxes of LEDs lead to insignificant (≤ 1% of maximum illumination) deviations in the illumination level during software control. Discretization of the PWM signals for controlling the light fluxes has a significant effect on the accuracy of software control of the correlated color temperature of optical radiation. The parameters of the PI controller determined by the Kopelovich method can be used to implement software control systems for the illumination level and correlated color temperature of optical radiation of LED lamps.

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Simintech

Короткий адрес: https://sciup.org/140312001

IDR: 140312001   |   DOI: 10.55618/20756704_2025_18_1_85-94

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