An Embedded Solar‐Powered Irrigation System Based on a Cascaded Fuzzy Logic Controller

Abstract

This study examines the automatization of irrigation tasks of solar photovoltaic water pumping systems (SPVWPS) in greenhouse applications. A prototype of an embedded control system has been developed for SPVWPS battery-coupled architectures. The new design aims at improving the safety of solar irrigation facility by avoiding the exhaustion of pumping resources (water and energy) while watering. The availabilities of pumping resources are introduced as new requisite inputs of a fuzzy logic-based control system (FLC) so that it can produce adequate and safe irrigation durations. The FLC design consists of two cascaded devices. The first device uses climate data to estimate durations for watering that satisfy crop needs. The second device uses actual resource levels to evaluate the pumping capacity of the SPVWPS regarding requested durations.Watering is performed whenever the pumping capacity of the system represents more than 25% of the total requirement. Test results from an experimental greenhouse prove the effectiveness of the decision-making mechanism that prevents scheduling unsuccessful watering tasks.

System identification using NARX and centrifugal compressor control through the intelligent, active method—Case study: K‐250 centrifugal compressor

“…This section deals with the design of the PI-ANFIS and ANFIS-PSO controller. The most common method for designing a PI controller is the Ziegler-Nichols method to adjust the coefficients in PD, PI, and PID controllers [35]. The fuzzy logic rules are used to obtain a more appropriate response in the presence of nonlinear factors.…”

Power conversion in a grid‐connected residential PV system with energy storage using fuzzy‐logic controls

“…A fuzzy‐logic‐based controller has been developed as droop control in a wind farm, 16 maintaining a desired droop rate and providing a desired frequency support for a smart grid. Using the availability of pumping resources as key inputs to a fuzzy‐logic controller, the irrigation risk of a solar pumping system has been mitigated in a design that achieves safe irrigations durations in a solar‐powered irrigation system 17 . Also, a fuzzy‐logic interface has been designed to effectively manage the charge and discharge control of multiple grid‐connected electric vehicles 18…”

“…Using the availability of pumping resources as key inputs to a fuzzy-logic controller, the irrigation risk of a solar pumping system has been mitigated in a design that achieves safe irrigations durations in a solar-powered irrigation system. 17 Also, a fuzzy-logic interface has been designed to effectively manage the charge and discharge control of multiple grid-connected electric vehicles. 18 Many of the works in the literature are either models for stand-alone setting or assumed a continuous power supply in designing power systems employing fuzzy-logic control.…”