An experimental performance verification of continuous mixed P-norm based adaptive asymmetrical fuzzy logic controller for single stage photovoltaic grid integration

Neeraj Priyadarshi; Sanjeevikumar Padmanaban; Mahajan Sagar Bhaskar; Baseem Khan

doi:10.1049/rpg2.12410

An experimental performance verification of continuous mixed P-norm based adaptive asymmetrical fuzzy logic controller for single stage photovoltaic grid integration

Neeraj Priyadarshi, Sanjeevikumar Padmanaban, Mahajan Sagar Bhaskar, Baseem Khan

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

This paper deals with a new continuous mixed p-norm (CMPN) based adaptive asymmetrical fuzzy logic controller (AAFLC) method for single stage grid integrated photovoltaic (PV) system as an inverter control strategy. Here, asymmetrical membership functions are employed to compensate the non-linear characteristics of the PV module with effective system improvement. The proposed CMPN based algorithm provides online updates of the fuzzy logic controller (FLC) with rapid convergence velocity under varying operating conditions. The performance of a single-stage grid integrated PV system controlled using CMPN based AAFLC has been investigated using the dSPACE DS1104 platform under steady and dynamic operating situations. Extensive practical analysis has been presented for verification of effective proposed inverter controller design under changing environmental conditions.

Original language	English
Article number	e12410
Journal	IET Renewable Power Generation
Volume	19
Issue number	1
DOIs	https://doi.org/10.1049/rpg2.12410
Publication status	Published - 1 Jan 2025
Externally published	Yes

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1049/rpg2.12410

Cite this

@article{a5880b0b3fc643b5a4ceb20cc604d39f,

title = "An experimental performance verification of continuous mixed P-norm based adaptive asymmetrical fuzzy logic controller for single stage photovoltaic grid integration",

abstract = "This paper deals with a new continuous mixed p-norm (CMPN) based adaptive asymmetrical fuzzy logic controller (AAFLC) method for single stage grid integrated photovoltaic (PV) system as an inverter control strategy. Here, asymmetrical membership functions are employed to compensate the non-linear characteristics of the PV module with effective system improvement. The proposed CMPN based algorithm provides online updates of the fuzzy logic controller (FLC) with rapid convergence velocity under varying operating conditions. The performance of a single-stage grid integrated PV system controlled using CMPN based AAFLC has been investigated using the dSPACE DS1104 platform under steady and dynamic operating situations. Extensive practical analysis has been presented for verification of effective proposed inverter controller design under changing environmental conditions.",

author = "Neeraj Priyadarshi and Sanjeevikumar Padmanaban and Bhaskar, \{Mahajan Sagar\} and Baseem Khan",

note = "Publisher Copyright: {\textcopyright} 2022 The Authors. IET Renewable Power Generation published by John Wiley \& Sons Ltd on behalf of The Institution of Engineering and Technology.",

year = "2025",

month = jan,

day = "1",

doi = "10.1049/rpg2.12410",

language = "English",

volume = "19",

journal = "IET Renewable Power Generation",

issn = "1752-1416",

publisher = "John Wiley \& Sons Inc.",

number = "1",

}

An experimental performance verification of continuous mixed P-norm based adaptive asymmetrical fuzzy logic controller for single stage photovoltaic grid integration. / Priyadarshi, Neeraj; Padmanaban, Sanjeevikumar; Bhaskar, Mahajan Sagar et al.
In: IET Renewable Power Generation, Vol. 19, No. 1, e12410, 01.01.2025.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - An experimental performance verification of continuous mixed P-norm based adaptive asymmetrical fuzzy logic controller for single stage photovoltaic grid integration

AU - Priyadarshi, Neeraj

AU - Padmanaban, Sanjeevikumar

AU - Bhaskar, Mahajan Sagar

AU - Khan, Baseem

PY - 2025/1/1

Y1 - 2025/1/1

N2 - This paper deals with a new continuous mixed p-norm (CMPN) based adaptive asymmetrical fuzzy logic controller (AAFLC) method for single stage grid integrated photovoltaic (PV) system as an inverter control strategy. Here, asymmetrical membership functions are employed to compensate the non-linear characteristics of the PV module with effective system improvement. The proposed CMPN based algorithm provides online updates of the fuzzy logic controller (FLC) with rapid convergence velocity under varying operating conditions. The performance of a single-stage grid integrated PV system controlled using CMPN based AAFLC has been investigated using the dSPACE DS1104 platform under steady and dynamic operating situations. Extensive practical analysis has been presented for verification of effective proposed inverter controller design under changing environmental conditions.

AB - This paper deals with a new continuous mixed p-norm (CMPN) based adaptive asymmetrical fuzzy logic controller (AAFLC) method for single stage grid integrated photovoltaic (PV) system as an inverter control strategy. Here, asymmetrical membership functions are employed to compensate the non-linear characteristics of the PV module with effective system improvement. The proposed CMPN based algorithm provides online updates of the fuzzy logic controller (FLC) with rapid convergence velocity under varying operating conditions. The performance of a single-stage grid integrated PV system controlled using CMPN based AAFLC has been investigated using the dSPACE DS1104 platform under steady and dynamic operating situations. Extensive practical analysis has been presented for verification of effective proposed inverter controller design under changing environmental conditions.

UR - https://www.scopus.com/pages/publications/85124125723

U2 - 10.1049/rpg2.12410

DO - 10.1049/rpg2.12410

M3 - Article

AN - SCOPUS:85124125723

SN - 1752-1416

VL - 19

JO - IET Renewable Power Generation

JF - IET Renewable Power Generation

IS - 1

M1 - e12410

ER -

An experimental performance verification of continuous mixed P-norm based adaptive asymmetrical fuzzy logic controller for single stage photovoltaic grid integration

Abstract

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this