Internal Lighting Control on the Basis of Fuzzy Inference

Abstract

The urgency of the problem is caused by the need to develop and implement energy-efficient and energy-reducing technologies, as one of the priority strategies for innovative development of the Russian Federation, and the lack of energy efficient lighting control systems, which consume up to 30% of the generated electricity. The aim of the research is to develop an energy-efficient indoor lighting control system for the production facility. The research methods are fuzzy modeling and the Mamdani fuzzy inference method, implemented in the Delphi programming environment. The main results of the research: a new method for energy-efficient control of the capacity of indoor lighting facilities is proposed. It differs from existing ones in that the control effect is created by forming two input signals from measuring sensors: lighting and people present, taking into account the regulated standards of production facilities illumination. A new mathematical model for determining the optimal value of the power consumption by the indoor lighting facilities of production facilities is developed on the basis of the Mamdani fuzzy inference method. A hardware-software stand was developed for carrying out experimental studies.