SYNTHESIS OF A FUZZY SYSTEM FOR AUTOMATIC CONTROL OF MULTI-ZONE LIGHTING OF PREMISES
DOI:
https://doi.org/10.35546/kntu2078-4481.2026.2.12Keywords:
automatic control, fuzzy logic, Sugeno algorithm, multi-zone lightingAbstract
The article solves the current scientific and practical problem of increasing energy efficiency and visual comfort in building automation systems by improving artificial lighting control systems.
The purpose of the study is to synthesize a fuzzy system for automatic control of multi-zone indoor lighting to effectively compensate for stochastic disturbances of natural light and minimize dynamic deviations. It was found that the use of proportional-integral controllers in indoor lighting systems leads to significant overregulation, primarily due to the cross-effect of luminaires. A spatial model of the auditorium illumination was developed, which takes into account the exponential fading of daylight. Based on this model, a fuzzy controller was synthesized that uses the zero-order Sugeno logical inference algorithm with a full base of 9 production rules.
The work determined the optimal limits of triangular membership functions for input variables – errors and the rate of its change, as well as the exact numerical values of the output constants. The developed control system was simulated under dynamic changes in daylight intensity caused by variable cloudiness. The comparative analysis confirmed the significant advantage of the fuzzy control system: the aperiodic nature of the transient process is ensured and with a lower level of overshoot than for the PI controller. It is shown that the optimized fuzzy control system allowed to reduce the total integral error for three zones from 5203.4 to 4872.5 lux·s compared to the PI controller, to reduce the maximum dynamic deviation of illumination from 83.2 to 75.2 lux. The proposed system is characterized by low computational costs.
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