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. 2022 Mar 18;12(1):4688.
doi: 10.1038/s41598-022-08252-7.

Design and processor in the loop implementation of an improved control for IM driven solar PV fed water pumping system

Mustapha Errouha  1 , Quentin Combe  2 , Saad Motahhir  3 , S S Askar  4 , Mohamed Abouhawwash  5   6
Affiliations

Design and processor in the loop implementation of an improved control for IM driven solar PV fed water pumping system

Mustapha Errouha et al. Sci Rep. .

Abstract

In recent years, the improvement of photovoltaic water pumping system (PVWPS) efficiency takes the considerable interest of researchers due to its operating based on cleaner electrical energy production. In this paper, a new approach based on fuzzy logic controller incorporating loss minimization technique applied to the induction machine (IM) is developed for PVWPS applications. The proposed control selects the optimal flux magnitude by minimization of the IM losses. Moreover, Variable step size perturb and observe method is introduced. The suitability of the proposed control is approved by reducing the absorbed current; therefore, the motor losses are minimized and the efficiency is improved. The proposed control strategy is compared with the method without losses minimization. The comparison results illustrate the effectiveness of the proposed method based on losses minimization regarding the electrical speed, absorbed current, flow water and developed flux. A processor-in-the-loop (PIL) test is effectuated as an experimental test of the proposed method. It consists in implementing the generated C code on the STM32F4 discovery board. The obtained results from the embedded board are similar to numerical simulation results.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Description of the proposed system.
Figure 2
Figure 2
flowchart of Variable step size P&O method.
Figure 3
Figure 3
The fuzzy membership functions of εφ.
Figure 4
Figure 4
The fuzzy membership functions of εTem.
Figure 5
Figure 5
The fuzzy membership functions of θs.
Figure 6
Figure 6
The membership functions for the output.
Figure 7
Figure 7
control scheme of PV water pumping system.
Figure 8
Figure 8
(a) Solar radiation (b) Extracted power (c) Duty cycle (d) DC link voltage (e) Rotor speed (f) Pumped water (g) Stator phase current of FDTC (h) Stator phase current of FDTCO (i) Flux response using FLC (j) Flux response using FDTCO (k) Stator flux trajectory using FDTC (l) Stator flux trajectory using FDTCO.
Figure 8
Figure 8
(a) Solar radiation (b) Extracted power (c) Duty cycle (d) DC link voltage (e) Rotor speed (f) Pumped water (g) Stator phase current of FDTC (h) Stator phase current of FDTCO (i) Flux response using FLC (j) Flux response using FDTCO (k) Stator flux trajectory using FDTC (l) Stator flux trajectory using FDTCO.
Figure 9
Figure 9
(a) Solar radiation (b) Extracted power (c) Duty cycle (d) DC link voltage (e) Rotor speed (f) water Flow (g) Stator phase current of FDTC (h) Stator phase current of FDTCO (i) Flux response using FLC (j) Flux response using FDTCO (k) Stator flux trajectory using FDTC (l) Stator flux trajectory using FDTCO.
Figure 9
Figure 9
(a) Solar radiation (b) Extracted power (c) Duty cycle (d) DC link voltage (e) Rotor speed (f) water Flow (g) Stator phase current of FDTC (h) Stator phase current of FDTCO (i) Flux response using FLC (j) Flux response using FDTCO (k) Stator flux trajectory using FDTC (l) Stator flux trajectory using FDTCO.
Figure 10
Figure 10
Steps to parameterize PIL test using STM32F407 MCU.
Figure 11
Figure 11
PIL test results for flux response.
Figure 12
Figure 12
PIL test of the optimal reference flux block using STM32F4 board.
See this image and copyright information in PMC

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