Design and Implementation of an Intelligent ANFIS Controller on a Raspberry Pi Nano-Computer for Photovoltaic Pumping Intended for Drip Irrigation

Siwar Bellahirich,Abdelkader Mami,Dhafer Mezghani

doi:10.3390/en14175217

Siwar Bellahirich, Abdelkader Mami + Show 1 more

Open Access

https://doi.org/10.3390/en14175217

Copy DOI

Journal: Energies	Publication Date: Aug 24, 2021
Citations: 6	License type: CC BY 4.0

Affiliation: Tunis El Manar University, Tunis University

Abstract

For several decades, many countries have favored irrigation as a means of regulating, diversifying, and increasing agricultural production to meet the growing domestic demand for food, and even to generate exportable surpluses. As with most Mediterranean countries, Tunisia has inherited a long tradition in irrigation; thus, the management of the scarcity of water resources poses a very important challenge that is gradually increasing due to the effects of climate change undergone by the region and confronting the agricultural sector. Aiming at a new model of sustainable development, ensuring the optimization of water resources management, as well as the protection of natural resources and the environment, this work proposed the modern design of a photovoltaic pumping chain dedicated for drip irrigation, which is controlled using an intelligent neuron-fuzzy controller with an ANFIS architecture and implemented on a Raspberry Pi platform. Thanks to this design, the efficiency of the pumping chain increased exponentially to a value of approximately 95%, achieving water pumping optimization while exploiting renewable energy resources, thus guaranteeing the longevity of water resources, as well as the continuity of diversified agricultural production.

Highlights

IntroductionThe Tunisian strategic geographical location distinguishes the country with a mild climate and a mixture of geological features such as deserts, mountains, and flat lands.The water that can be mobilized in Tunisia is estimated to be 4766 million m3 /year, consisting of 55% of surface water collected mainly in the North and 45% of groundwater mainly located in the Center and the South [1].Irrigated agriculture consumes 80% of available water resources, while 14% is allocated to drinking water and 6% to industry and tourism, as shown in Figure 1 [2].According to the Office of Planning and Hydraulic Balances (2016), irrigated agriculture represents 37% of agricultural production (8% of the useful agricultural area, 27% of agricultural employment, and 20% of the export value) [2].the country has 450 m3 /inhabitant/year of water, which is below the water stress threshold (i.e., 500 m3 /inhabitant/year), which means a serious problem of the need for water resources by 2025.the right to water is threatened, and it has become essential to preserve this resource and rationalize its exploitation
The intelligent neuron-fuzzy controller aims to create an optimized fuzzy interference system using supervised learning methods; there are three fuzzy neural architectures: the Nomura architecture, the LSC architecture, and the Adaptative-Network-based Fuzzy Inference System (ANFIS) architecture adopted for this work
The simulation results were obtained by simulating the Simulink models over a period of 10 s, which is represented in Figure 23: Figure 23

Summary

Introduction

The Tunisian strategic geographical location distinguishes the country with a mild climate and a mixture of geological features such as deserts, mountains, and flat lands.The water that can be mobilized in Tunisia is estimated to be 4766 million m3 /year, consisting of 55% of surface water collected mainly in the North and 45% of groundwater mainly located in the Center and the South [1].Irrigated agriculture consumes 80% of available water resources, while 14% is allocated to drinking water and 6% to industry and tourism, as shown in Figure 1 [2].According to the Office of Planning and Hydraulic Balances (2016), irrigated agriculture represents 37% of agricultural production (8% of the useful agricultural area, 27% of agricultural employment, and 20% of the export value) [2].the country has 450 m3 /inhabitant/year of water, which is below the water stress threshold (i.e., 500 m3 /inhabitant/year), which means a serious problem of the need for water resources by 2025.the right to water is threatened, and it has become essential to preserve this resource and rationalize its exploitation. The Tunisian strategic geographical location distinguishes the country with a mild climate and a mixture of geological features such as deserts, mountains, and flat lands. The water that can be mobilized in Tunisia is estimated to be 4766 million m3 /year, consisting of 55% of surface water collected mainly in the North and 45% of groundwater mainly located in the Center and the South [1]. Irrigated agriculture consumes 80% of available water resources, while 14% is allocated to drinking water and 6% to industry and tourism, as shown in Figure 1 [2]. According to the Office of Planning and Hydraulic Balances (2016), irrigated agriculture represents 37% of agricultural production (8% of the useful agricultural area, 27% of agricultural employment, and 20% of the export value) [2].

Methods

Results

Conclusion