Irradiance sensorless PSO-based Integral Backstepping and Immersion & invariance algorithm for robust MPPT control with real-climatic microcontroller-in-the-loop experimental validation

This paper presents a novel irradiance sensorless Maximum Power Point Tracking (MPPT) controller for photovoltaic (PV) systems using a Particle Swarm Optimization (PSO)-based Integral Backstepping (IBSC) and Immersion & Invariance (I&I) algorithm. The proposed controller addresses the limita...

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Vydané v:Computers & electrical engineering Ročník 123; s. 110279
Hlavní autori: Chen, Jian, Harrison, Ambe, Alombah, Njimboh Henry, Mbasso, Wulfran Fendzi, MOLU, Reagan Jean Jacques, Alharbi, Abdullah M, Jangir, Pradeep
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 01.04.2025
Predmet:
Higher-order sliding mode differentiator (HOSMD)
Integral-backstepping controller (IBSC)
MPPT
Particle swarm optimization (PSO)
Pv systems, immersion and invariance (I&I) algorithm
Real experimental environmental conditions
Real experimental environmental conditions
MPPT
Particle swarm optimization (PSO)
Higher-order sliding mode differentiator (HOSMD)
Pv systems, immersion and invariance (I&I) algorithm
Integral-backstepping controller (IBSC)
ISSN:0045-7906
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Shrnutí:This paper presents a novel irradiance sensorless Maximum Power Point Tracking (MPPT) controller for photovoltaic (PV) systems using a Particle Swarm Optimization (PSO)-based Integral Backstepping (IBSC) and Immersion & Invariance (I&I) algorithm. The proposed controller addresses the limitations of traditional and contemporary MPPT methods, such as the need for costly irradiance sensors and suboptimal performance under dynamic environmental conditions. The integration of a higher-order sliding mode differentiator (HOSMD) with the IBSC enhances transient response by completely eliminating overshoots, achieving a 0 % overshoot compared to 4.8 % with the conventional IBSC under standard test conditions. The system exhibits rapid tracking convergence with a significantly reduced tracking time of 0.4 ms, approximately seven times faster than the traditional Perturb and Observe (P&O) algorithm's 3 ms. Under real-world conditions, the proposed system's irradiance estimator maintains a mean absolute error below 15 W/m², with a maximum error of 69 W/m² at high irradiance levels. The system achieves an operating efficiency of 99.99 % with peak-to-peak power ripples of just 0.17 % under standard conditions, outperforming eight state-of-the-art MPPT techniques. This robust and efficient MPPT solution is validated through extensive simulations and real-climatic conditions. Additionally, real-climatic experimental implementations are carried out using Microcontroller-in-the-loop (MIL) integration. The acquired experimental results do not only corroborate the simulation outcomes but also endorses the reliability and practical robustness of the proposed MPPT controller
ISSN:0045-7906
DOI:10.1016/j.compeleceng.2025.110279