Adaptive fuzzy sliding control of single-phase PV grid-connected inverter

Fei, Juntao; Zhu, Yunkai

doi:10.1371/journal.pone.0182916

Cited by 18 publications

(10 citation statements)

References 19 publications

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“…The drawback is overcome by the work of authors in [162]. The chattering effect is greatly reduced by using a combination of adaptive, fuzzy logic controller (FLC), and SMC [163]. The FLC is adopted to approximate the uncertain disturbances that occur due to atmospheric variations, while the SMC is adopted to control the inverter performance.…”

Section: Sliding Mode Controllers (Smc)mentioning

confidence: 99%

A Comprehensive Review on Grid Connected Photovoltaic Inverters, Their Modulation Techniques, and Control Strategies

et al. 2020

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The installation of photovoltaic (PV) system for electrical power generation has gained a substantial interest in the power system for clean and green energy. However, having the intermittent characteristics of photovoltaic, its integration with the power system may cause certain uncertainties (voltage fluctuations, harmonics in output waveforms, etc.) leading towards reliability and stability issues. In PV systems, the power electronics play a significant role in energy harvesting and integration of grid-friendly power systems. Therefore, the reliability, efficiency, and cost-effectiveness of power converters are of main concern in the system design and are mainly dependent on the applied control strategy. This review article presents a comprehensive review on the grid-connected PV systems. A wide spectrum of different classifications and configurations of grid-connected inverters is presented. Different multi-level inverter topologies along with the modulation techniques are classified into many types and are elaborated in detail. Moreover, different control reference frames used in inverters are presented. In addition, different control strategies applied to inverters are discussed and a concise summary of the related literature review is presented in tabulated form. Finally, the scope of the research is briefly discussed.

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Section: Sliding Mode Controllers (Smc)mentioning

confidence: 99%

A Comprehensive Review on Grid Connected Photovoltaic Inverters, Their Modulation Techniques, and Control Strategies

et al. 2020

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“…both the switches in a leg cannot turn on at the same time. These switching states are controlled by the PWM signal that contains a set of binary values {0, 1} based on controller output u, as described in (1). i L , i C and i o are the inductor current, capacitor current and output current, respectively.…”

Section: Inverter Modelingmentioning

confidence: 99%

“…Voltage source inverter (VSI) is widely employed in power generation systems [1], uninterruptible power supplies [1,2], electric vehicles systems (EVS) [3], and renewable energy systems [4,5] to supply power to the various types of loads. In these applications, accurate regulation of the inverter output voltage and current is significantly important.…”

Section: Introductionmentioning

confidence: 99%

Continuous dynamic sliding mode control strategy of PWM based voltage source inverter under load variations

et al. 2020

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For closed-loop controlled DC-AC inverter system, the performance is highly influenced by load variations and online current measurement. Any variation in the load will introduce unwanted periodic error at the inverter output voltage. In addition, when the current sensor is in faulty condition, the current measurement will be imprecise and the designed feedback control law will be ineffective. In this paper, a sensorless continuous sliding mode control (SMC) scheme has been proposed to address these issues. The chattering effect due to the discontinuous switching nature of SMC has been attenuated by designing a novel boundary-based saturation function where the selection of the thickness of boundary is dependent to the PWM signal generation of the inverter. In order to remove the dependency on the current sensor, a particle swarm optimization(PSO) based modified observer is proposed to estimate the inductor current in which the observer gains are optimized using PSO by reducing the estimation errors cost function. The proposed dynamic smooth SMC algorithm has been simulated in MATLAB Simulink environment for 0.2-kVA DC-AC inverter and the results exhibit rapid dynamic response with a steady-state error of 0.4V peak-to-peak voltage under linear and nonlinear load perturbations. The total harmonic distortion (THD) is also reduced to 0.20% and 1.14% for linear and non-linear loads, respectively.

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“…Backstepping sliding control and fuzzy sliding control were investigated in References [13][14][15][16][17][18][19] to improve the performance of PV inverters and dynamic systems. An adaptive fuzzy controller and a neural network controller have been developed for a PV grid-connected inverter in References [20][21][22]. Motivated by the above discussion, an adaptive intelligent sliding control is proposed for a PV inverter, and an MPPT algorithm is presented by using an INC method with an adaptive step size.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Intelligent Sliding Mode Control of a Photovoltaic Grid-Connected Inverter

2018

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Adaptive intelligent sliding mode control methods are developed for a single-phase photovoltaic (PV) grid-connected transformerless system with a boost chopper and a DC-AC inverter. A maximum power point tracking (MPPT) method is implemented in the boost part in order to extract the maximum power from the PV array. A global fast terminal sliding control (GFTSMC) strategy is developed for an H-bridge inverter to make the tracking error between a grid reference voltage and the output voltage of the inverter converge to zero in a finite time. A fuzzy-neural-network (FNN) is used to estimate the system uncertainties. Intelligent methods, such as an adaptive fuzzy integral sliding controller and a fuzzy approximator, are employed to control the DC-AC inverter and approach the upper bound of the system nonlinearities, achieving reliable grid-connection, small voltage tracking error, and strong robustness to environmental variations. Simulation with a grid-connected PV inverter model is implemented to validate the effectiveness of the proposed methods.

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Adaptive fuzzy sliding control of single-phase PV grid-connected inverter

Cited by 18 publications

References 19 publications

A Comprehensive Review on Grid Connected Photovoltaic Inverters, Their Modulation Techniques, and Control Strategies

A Comprehensive Review on Grid Connected Photovoltaic Inverters, Their Modulation Techniques, and Control Strategies

Continuous dynamic sliding mode control strategy of PWM based voltage source inverter under load variations

Adaptive Intelligent Sliding Mode Control of a Photovoltaic Grid-Connected Inverter

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