Fuzzy Logic Implementation for MCU on Power Savings and Efficient Irrigation System (MPSEIS) for Smart Farming
Authors: Francisco B. Culibrina and Elmer P. Dadios
Abstract
Motor speed controller is essential to utilize and maximize the available power. In this paper, the researchers present a self-learning controller for motor speed to be utilize on Three Phase Motor using Variable Frequency Driver (VFD) for irrigation system of Smart Farming using fuzzy logic algorithm developed inside a Micro-Control Unit (MCU) environment or MCU on Power Savings and Efficient Irrigation System (MPSEIS). Motor speed can be reduced and increased using three fuzzy inputs namely, starting process, maintaining process, and stopping process. These fuzzy inputs can be triggered from feedback data of water reservoir level sensor, plant water requirements, and power optimization control. To test the controller’s performance, different frequencies using variable frequency driver (VFD) in real time undergoing different water level and power load variations. The whole system is powered by photovoltaic cells, water demand on crops can be quickly and accurately calculated which can be scientific basis for water and power savings for irrigation. For continuous plant production on Smart Farm with independent power supply, new technologies using fuzzy logic were used. The results of experiment showed that the developed controller is reliable, accurate and robust.