Chattering free full‐order terminal sliding‐mode control for maximum power point tracking of photovoltaic cells

Mojallizadeh, Mohammad Rasool; Badamchizadeh, Mohammad Ali; Khanmohammadi, Sohrab; Sabahi, Mehran

doi:10.1049/iet-rpg.2016.0188

Cited by 19 publications

(7 citation statements)

References 23 publications

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“…In [149], a TSMC method for maximum power tracking of PV power systems was developed. In [150], a full-order TSMC for maximum power point tracking of PV cells was developed. In [151], a robust TSMC was employed to control PV system to track the maximum power point at all operating conditions.…”

Section: G Power and Renewable Energy Systemsmentioning

confidence: 99%

Terminal Sliding Mode Control – An Overview

Feng

Man

2021

IEEE Open J. Ind. Electron. Soc.

181

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Sliding mode control (SMC) has been a very popular control technology due to its simplicity and robustness against uncertainties and disturbances since its inception more than 60 years ago. Its very foundation of stability and stabilization is built on the principle of the Lyapunov theory which ascertains asymptotic stability. In the 1990s, a novel class of SMC, called the terminal sliding mode control (TSMC), was proposed which has been studied and applied extensively, giving rise to a robust control with tunable finite-time convergence delivering fast response, high precision, and strong robustness. In recent years, interest in this particular control technology has been increasing. This paper provides an overview of the state of the art of the TSMC theory and its applications, and postulates key technical issues and future challenges.

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Section: G Power and Renewable Energy Systemsmentioning

confidence: 99%

Terminal Sliding Mode Control – An Overview

Feng

Man

2021

IEEE Open J. Ind. Electron. Soc.

181

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“…It can be seen that the output-voltage of the solar PV cells will be the same as the demanded reference voltage, even if the PV maximum power tracking system occurs under violent external intrusions or great internal parameter changes or rigorous uncertainties. Based on the conception of terminal attractor [17,22,23], this section derives the control law u of the robust SMC, and use the ECOA to unearth the globally optimal parameters of the robust SMC. The MPPT-based pure sine wave inverter can meliorate the performance in steady state and the tracking speed in transient state, thus carrying out the high-quality AC output.…”

Section: Proposed Controllermentioning

confidence: 99%

“…The robust SMC using nonlinear regime not only ensures that the system state can reach the sliding surface in a limited time, but also demonstrates the capability to suppress severe intrusions in a closed-loop feedback system, which can allow the control more accurate and ensure the stability of the system [17][18][19][20]. The steady-state performance and tracking speed during transients in MPPT inverter system can be improved indeed [21][22][23]. Troublesomely, the high-frequency flutter problem still exists in the robust SMC.…”

Section: Introductionmentioning

confidence: 99%

High-Performance Pure Sine Wave Inverter with Robust Intelligent Sliding Mode Maximum Power Point Tracking for Photovoltaic Applications

Chang

2020

Micromachines

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Photovoltaic (PV) power generation has been extensively used as a result of the limited petrochemical resources and the rise of environmental awareness. Nevertheless, PV arrays have a widespread range of voltage changes in a variety of solar radiation, load, and temperature circumstances, so a maximum power point tracking (MPPT) method must be applied to get maximum power from PV systems. Sliding mode control (SMC) is effectively used in PV power generation due to its robustness, design simplicity, and superior interference suppression. When the PV array is subject to large parameter changes/highly uncertain conditions, the SMC leads to degraded steady-state performance, poor transient tracking speed, and unwanted flutter. Therefore, this paper proposes a robust intelligent sliding mode MPPT-based high-performance pure sine wave inverter for PV applications. The robust SMC is designed through fast sliding regime, which provides fixed time convergence and a non-singularity that allows better response in steady-state and transience. To avoid the flutter caused by system unmodeled dynamics, an enhanced cuckoo optimization algorithm (ECOA) with automatically adjustable step factor and detection probability is used to search control parameters of the robust sliding mode, thus finding global optimal solutions. The coalescence of both robust SMC and ECOA can control the converter to obtain MPPT with faster convergence rate and without untimely trapping at local optimal solutions. Then the pure sine wave inverter with robust intelligent sliding mode MPPT of the PV system delivers a high-quality and stable sinusoidal wave voltage to the load. The efficacy of the proposed method is validated on a MPPT pure sine wave inverter system by using numerical simulations and experiments. The results show that the output of the proposed PV system can improve steady-state performance and transient tracking speed.

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“…The maximum point power tracking (MPPT) algorithm implemented for harnessing highest amount of power at each solar irradiance and ambient temperature operating point condition is the perturb and observe method (P&O). While P&O is considered as a slow tracking method and might fail under fast variations in irradiance, its implementation is quite simple in comparison to other conventional as well as novel MPPT algorithms [25]. A passive low-pass filter (LPF) is further installed at the output terminals of the inverter in order to eliminate high-frequency switching harmonics in output current waveform.…”

Section: Commercial Pv System (Mv)mentioning

confidence: 99%

Computational approach to enhance performance of photovoltaic system inverters interfaced to utility grids

Arzani

Venayagamoorthy

2017

IET Renewable Power Generation

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Switch-model power electronic inverters are heavily deployed as the main technology in enabling flow of variable DC power into the AC grid. Various distributed energy system (DES) architectures have been designed depending on many attributes including size and application of the installed system. The reliability of the power electronic interfaces (PEI), i.e. inverters is critical in all these architectures. Recent studies demonstrate enhanced operation of a PEI can be reached by optimum adjustment of its controller parameters. While conventional tuning methods are mostly based on trial and error, their optimum performance can be achieved for primarily first-order systems. For systems with increasing number of PEIs or more complexity, application of these tuning methods becomes challenging and expensive. Thus, considering the operational performance of DES, a controller self-tuning methodology has been presented for PEIs with particle swarm optimisation capability. The optimal parameters for both kW-scale and multi-megawatt PV systems' inverters are determined via a timedomain performance objective function. Typical PV system performances are presented for step changes and dynamic weather conditions. Effectiveness of the controller self-tuning methodology has been demonstrated via the reduction of transient energy, when the system is subjected to dynamic changes and disturbances.

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Chattering free full‐order terminal sliding‐mode control for maximum power point tracking of photovoltaic cells

Cited by 19 publications

References 23 publications

Terminal Sliding Mode Control – An Overview

Terminal Sliding Mode Control – An Overview

High-Performance Pure Sine Wave Inverter with Robust Intelligent Sliding Mode Maximum Power Point Tracking for Photovoltaic Applications

Computational approach to enhance performance of photovoltaic system inverters interfaced to utility grids

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