Abstract

Objectives: This paper provides solution for home automation, in terms of an energy efficient system. The objective is to design a device in the form of an intelligent remote control, to control the ambient condition of a house. Methods: An intelligent RF based remote control is developed which is capable of controlling in two modes- autonomous and semiautonomous. The dimming levels of appliances are tuned with optimized PID controller. A real hardware prototype is developed to control two parameters- light intensity and humidity level of the room. The tuning parameters of PID controller are calculated with the help of overall transfer function of the system, which includes the feedback signal from sensor, objective function of optimization algorithm and transfer function of the appliance (which is used to control the ambient conditions of room). Particle Swarm Optimization algorithm is used to optimize the tuning parameters for PID and results shows more energy efficiency with proposed system, when compared to conventional systems. Findings: The experimental results show prominent saving of energy by using proposed PSO-PID algorithm for designed system. It is calculated as 37.49% for light intensity control system and for humidity control saving comes out 36.9%. Novelty of the proposed system is new approach in terms of intelligent hybrid remote control

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