Second-order fuzzy sliding-mode control of photovoltaic power generation systems

Mojallizadeh, Mohammad Rasool; Badamchizadeh, Mohammad Ali

doi:10.1016/j.solener.2017.04.014

Cited by 32 publications

(10 citation statements)

References 30 publications

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“…A lot of researches have proposed robust non-linear control methods to ensure stability [9][10][11], from PV systems connected to grid. The sliding mode controller (SMC) [12,13], the predictive controller model [14], and the feedback linearization technique FBL [15], are mentioned.…”

Section: Introductionmentioning

confidence: 99%

A robust nonlinear control strategy of a PV System connected to the three-phase grid based on backstepping and PSO technique

Zouga

Benchagra

Ailane

2021

IJPEDS

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This article presents a robust non-linear control technique of the three-phase photovoltaic system. The structure chosen for this PV system is that of two power converters and DC voltage intermediate bus. The two power converters are: the DC-DC converter and the three-phase inverter, which requires two main controllers. These controllers have three main objectives. The first objective is to impose the PV voltage generated by the photovoltaic panel, in order to follow a maximum reference voltage provided by the MPPT block. The second one is to maintain the DC link voltage to a constant value, in order to optimize the transfer of energy between the two power converters. The last objective is to inject a three-phase sinusoidal current into the grid, while respecting a unit power factor. With the intention to achieve these three objectives, we designed cascading nonlinear controllers by using the technique of non-linear backstepping control in the synthesis of these two controllers, based on the Lyapunov function, with regard to maximise the PVG output voltage, in order to have a unitary power factor at the grid side. In order to regulate DC-link voltage, we developed an integral proportional controller (PI) with parameters that are optimized by the Particle Swarm Optimization (PSO) method. The robustness of the controller designed approach is tested by a simulation in MATLAB/Simulink software, that improves the performances of each controller whatever conditions of climate.

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Section: Introductionmentioning

confidence: 99%

A robust nonlinear control strategy of a PV System connected to the three-phase grid based on backstepping and PSO technique

Zouga

Benchagra

Ailane

2021

IJPEDS

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“…The system corrects the voltage drop caused by external uncertainties and input variations, which implies the rapid response of the said system. Mojallizadeh et al [68] developed a terminal sliding mode control (TSMC) MPPT that is more efficient than conventional TSMC. Their model decreases the amplitude of the chatter by using a secondorder filter in the control law.…”

Section: Introductionmentioning

confidence: 99%

Improvement of the Dynamic Response of Robust Sliding Mode MPPT Controller-Based PSO Algorithm for PV Systems under Fast-Changing Atmospheric Conditions

Djanssou

Dadjé

Tom

et al. 2021

International Journal of Photoenergy

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To get the maximum power point (MPP), the algorithms developed in the literature fail for the most part when the atmospheric conditions vary rapidly. This paper presents the optimization by the swarm particles (PSO) of a sliding mode controller (SMC) to optimize photovoltaic systems (PV) evolving under the conditions of a rapid variation of the sunshine. The stochastic PSO algorithm is used in particular to determine the optimal gains of the sliding mode controller, and this algorithm guarantees the stability and global fast convergence of the system. Efficiency of the proposed hybrid algorithm is proved by using a Solarex MSX-60 module connected to a step-up DC-DC converter supplying a resistive load. The performances are compared to the conventional perturb and observe technique (P&O), PSO, CUCKOO, grey wolf optimization (GWO), and Whale Optimization Algorithm (WOA) in terms of convergence speed, i.e., 0.05 s, tracking speed after extreme change in irradiance 0.03 s, high Ability to track large changes in power before 1 s. Simulation results show that this technique is effective in conditions of a rapid variation of the irradiance.

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“…Today, it is vital to generate clean and sustainable energy and consequently using wind energy has become noticeable in recent decades due to the fact that it is a green renewable energy source and is almost available everywhere (Hussain and Mishra, 2016; Mojallizadeh and Badamchizadeh, 2017, Lee and Kim, 2016). Given the importance of wind energy and increasing energy demands, the optimal and efficient use of wind energy requires sufficient research on this field (Chen et al, 2016; Hussain and Mishra, 2016).…”

Section: Introductionmentioning

confidence: 99%

Design of an adaptive controller to capture maximum power from a variable speed wind turbine system without any prior knowledge of system parameters

Neya

Saberi

Rezaie

2021

Transactions of the Institute of Measurement and Control

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Even though some wind turbine manufacturers are no longer active, and are not willing to disclose their intellectual property, their turbines are still in operation. Since the exact values of wind turbine parameters like the aerodynamic model, drive-train model and generator parameters are not always accessible, the design of a controller which does not require prior knowledge of the system parameters can be very useful and effective. As a result, this paper proposes a disturbance observer-based controller to harvest the maximum power from a wind turbine system with fully unknown parameters. To reduce control efforts, a disturbance observer is designed to estimate unknown nonlinear terms caused by unknown model parameters in the presence of unknown control coefficient that uses only the tracking error to estimate nonlinear disturbance. Compared with previously published works, in this paper, both aerodynamic model and drive-train model parameters are assumed to be fully unknown. Closed-loop stability of the proposed controller is analyzed by the Lyapunov stability theorem. To demonstrate the performance of the proposed controller, it is compared with some existing controllers. Comparative simulation results show its effectiveness. Furthermore, although the proposed controller does not require system parameters and includes fewer tuning parameters, it shows the same tracking performance as the other three controllers. The numerical comparative results are listed in a table, which shows that Mean Square Error (MSE) of the proposed controller is 75% less than minimum MSE of the other three controllers of previous works, while its control effort is 1.7% higher than the minimum control effort of the other three.

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Second-order fuzzy sliding-mode control of photovoltaic power generation systems

Cited by 32 publications

References 30 publications

A robust nonlinear control strategy of a PV System connected to the three-phase grid based on backstepping and PSO technique

A robust nonlinear control strategy of a PV System connected to the three-phase grid based on backstepping and PSO technique

Improvement of the Dynamic Response of Robust Sliding Mode MPPT Controller-Based PSO Algorithm for PV Systems under Fast-Changing Atmospheric Conditions

Design of an adaptive controller to capture maximum power from a variable speed wind turbine system without any prior knowledge of system parameters

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