Robust Continuous Nonlinear Predictive Controller (CNMPC) via Integral Sliding Mode Control (ISMC) for Grid-Tied PV Inverter

Ayalew, Biyadgie; Yahaya, Abass Afolabi; Durra, Ahmed Al

doi:10.1109/spies48661.2020.9242546

2020 2nd International Conference on Smart Power &Amp; Internet Energy Systems (SPIES) 2020

DOI: 10.1109/spies48661.2020.9242546

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Robust Continuous Nonlinear Predictive Controller (CNMPC) via Integral Sliding Mode Control (ISMC) for Grid-Tied PV Inverter

Biyadgie Ayalew

Abass Afolabi Yahaya

Ahmed Al Durra

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Cited by 4 publications

(1 citation statement)

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“…Integral SMC (ISMC) has been proposed to avoid the reaching phase of the system response or the entire system response is in sliding mode operation [24], but can only be used to estimate disturbances [25,26]. A preliminary study of ISMC for disturbance estimation applied to grid-connected converters was performed by [27].…”

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Robust controller for grid‐tied PV inverters based on continuous non‐linear predictive and integral sliding mode control

Diab

Ayalew

Yahaya

et al. 2022

IET Power Electronics

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This paper proposes a robust continuous nonlinear control method for grid‐tied photovoltaic (PV) inverters by combining model predictive control and integral sliding mode control (ISMC). The robustness of the proposed augmented controller is demonstrated mathematically by showing that the equivalent control signal of the ISMC system cancels disturbances to the system. Further, the proposed controller can compensate for system perturbations without knowing their characteristics, thereby simplifying controller design for the PV systems. The robustness of the proposed controller against parameter uncertainties and external disturbances was demonstrated via experimental and simulation verification.

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mentioning

confidence: 99%

Robust controller for grid‐tied PV inverters based on continuous non‐linear predictive and integral sliding mode control

Diab

Ayalew

Yahaya

et al. 2022

IET Power Electronics

Self Cite

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An improved standalone photovoltaic system with hybrid dual integral sliding mode and model predictive control for MPPT

Priyadarshi,

Sanjeevikumar,

Bhaskar

et al. 2023

IET Renewable Power Gen

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In this research paper, a double diode model‐based photovoltaic (PV) system with a proposed hybrid dual integral sliding mode control (DISMC) and model predictive control (MPC) based maximum power point tracker (MPPT) has been started for a standalone power system. Compared with the single diode model, the advanced model dual diode provides accurate maximum power point (MPP) estimation with high velocity and more searching efficiency. It also delivers the extrapolation of current‐voltage characteristics of the photovoltaic system under any weather situation. Compared to classical sliding mode control (SMC) and dual integral sliding mode controller (DISMC) based MPPT, the proposed hybrid dual integral sliding mode controller (DISMC) and model predictive control (MPC) MPPT provide high, robust behavior with minimized steady‐state error. A high gain multilevel boost converter is employed, which provides an output voltage directly proportional to the level number. Moreover, the predictive model controller extracts peak power from the PV module by predicting errors in further sampling periods and switching pulses. The proposed hybrid MPPT method provides a fixed switching frequency of a high gain multilevel boost converter under varying environmental and loading conditions. Practical responses justify the capability of advanced MPPT control using the dSPACEDS1104 platform.

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Optimal Quick-Response Variable Structure Control for Highly Efficient Single-Phase Sine-Wave Inverters

Chang¹,

Cheng²,

Chang³

et al. 2021

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This paper puts forward an optimal quick-response variable structure control with a single-phase sine-wave inverter application, which keeps harmonic distortion as low as possible under various conditions of loading. Our proposed solution gives an improvement in architecture in which a quick-response variable structure control (QRVSC) is combined with a brain storm optimization (BSO) algorithm. Notwithstanding the intrinsic resilience of a typical VSC with respect to changes in plant parameters and loading disruptions, the system state convergence towards zero normally proceeds at an infinitely long-time asymptotically, and chattering behavior frequently takes place. The QRVSC for ensuring speedy limited-time convergence with the system state to the balancing point is devised, whilst the BSO will be employed to appropriately regulate the parametric gains in the QRVSC for the elimination of chattering phenomena. From the mix of both a QRVSC together with a BSO, a low total harmonic distortion (THD) as well as a high dynamic response across different types of loading is generated by a closed-loop inverter. The proposed solution is implemented on a practicable single-phase sine-wave inverter under the control of a TI DSP (Texas Instruments Digital Signal Processor). It has experimentally shown the simulation findings as well as the mathematical theoretical analysis, displaying that both quick transient reaction as well as stable performance could be obtained. The proposed solution successfully inhibits voltage harmonics in compliance with IEEE 519-2014’s stringent standard of limiting THD values to less than 5%.

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Robust Continuous Nonlinear Predictive Controller (CNMPC) via Integral Sliding Mode Control (ISMC) for Grid-Tied PV Inverter

Cited by 4 publications

References 10 publications

Robust controller for grid‐tied PV inverters based on continuous non‐linear predictive and integral sliding mode control

Robust controller for grid‐tied PV inverters based on continuous non‐linear predictive and integral sliding mode control

An improved standalone photovoltaic system with hybrid dual integral sliding mode and model predictive control for MPPT

Optimal Quick-Response Variable Structure Control for Highly Efficient Single-Phase Sine-Wave Inverters

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