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Enhanced UPS inverter control using backstepping and fuzzy neural network for improved power quality

International Journal of Power Electronics and Drive Systems · Vol. 17 No. 2 (2026) · hlm. 1069–1083

DOI
10.11591/ijpeds.v17.i2.pp1069-1083
ISSN
2722-256X, 2088-8694
Terbit
2026-06-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

The rapid growth of sensitive digital infrastructures and automation systems has intensified the demand for uninterrupted and high-quality power delivery. To address this critical need, this paper proposes a novel hybrid intelligent control strategy for uninterruptible power supply (UPS) inverters that integrates backstepping control, fuzzy neural network (FNN) adaptation, and sliding mode gain compensation. The proposed approach ensures superior voltage regulation and robustness under nonlinear and dynamic load conditions while minimizing dependence on predefined system parameters. The backstepping controller establishes the Lyapunov-based stability framework, the FNN adaptively estimates system uncertainties in real time, and the sliding mode gain enhances resilience against external disturbances. This synergistic control integration enables fast dynamic response, reduced harmonic distortion, and improved system efficiency compared to conventional methods. Simulation and experimental validations demonstrate that the proposed controller achieves total harmonic distortion (THD) below 3%, voltage overshoot under 2%, and enhanced transient recovery, thereby ensuring reliable power quality for critical industrial and commercial applications. The study contributes a real-time feasible, adaptive, and robust UPS inverter control architecture, marking a significant advancement in intelligent power electronics for resilient energy systems.

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  • Koneru Lakshmaiah Education Foundation
  • Jawaharlal Nehru Technological University, Hyderabad
  • Applied Science Private University
  • Vardhaman College of Engineering
  • Vignan's Foundation for Science, Technology & Research
  • Birla Institute of Technology and Science - Hyderabad Campus
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Kambhampati Venkata Govardhan RaoKoneru Lakshmaiah Education Foundation8
Rakesh TeerdalaJawaharlal Nehru Technological University, Hyderabad6
B. JyothiKoneru Lakshmaiah Education Foundation3
Ch. Rami ReddyApplied Science Private University3
Bodapati Venkata RajannaKoneru Lakshmaiah Education Foundation2
Bhavana PabbuletiAfiliasi tidak diketahui2
Ravi PonnalaAfiliasi tidak diketahui2
Srungaram Ravi TejaKoneru Lakshmaiah Education Foundation2
Tellapati Anuradha DeviVardhaman College of Engineering2
Phanendra TKoneru Lakshmaiah Education Foundation2
Vishnuvardhan MKoneru Lakshmaiah Education Foundation2
M Kiran KumarAfiliasi tidak diketahui2
Ankala SirishaKoneru Lakshmaiah Education Foundation2
Kolli SujranKoneru Lakshmaiah Education Foundation2
Mudundi RekhaKoneru Lakshmaiah Education Foundation1
Anuradha Devi TellapatiKoneru Lakshmaiah Education Foundation1
Patil MounikaAfiliasi tidak diketahui1
Chilakala Rami ReddyAfiliasi tidak diketahui1
E. Shiva PrasadAfiliasi tidak diketahui1
Enukonda SoumyaAfiliasi tidak diketahui1
Mareboyina Karthik YadavKoneru Lakshmaiah Education Foundation1
Singagari SrilakshmiAfiliasi tidak diketahui1
Putta Dhanush NarasimhaKoneru Lakshmaiah Education Foundation1
D. Ravi KumarJawaharlal Nehru Technological University, Hyderabad1
Manne BharathiVignan's Foundation for Science, Technology & Research1
I. S. N. V. R. PrasanthAfiliasi tidak diketahui1
Ramchandra NittalaBirla Institute of Technology and Science - Hyderabad Campus1
N. KeerthiKoneru Lakshmaiah Education Foundation1
M. SharanyaAfiliasi tidak diketahui1
CH. SrinivasJawaharlal Nehru Technological University, Hyderabad1
K. ShravaniAfiliasi tidak diketahui1
V. Sanjeeva RaoAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://ijpeds.iaescore.com/index.php/IJPEDS/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Enhanced UPS inverter control using backstepping and fuzzy neural network for improved power quality</dc:title>
	<dc:creator>Devi, G. Anjali</dc:creator>
	<dc:creator>Ganapaneni, Swapna</dc:creator>
	<dc:creator>Sirisaiah, L.</dc:creator>
	<dc:creator>Kotha, Lokesh</dc:creator>
	<dc:creator>Manchikanti, Subhash</dc:creator>
	<dc:creator>Kumar, Malligunta Kiran</dc:creator>
	<dc:creator>Rakesh, T.</dc:creator>
	<dc:creator>Rao, K. V. Govardhan</dc:creator>
	<dc:subject xml:lang="en-US">backstepping control; fuzzy neutral network; Lyapunov stability; sliding mode control; system dynamics estimation</dc:subject>
	<dc:description xml:lang="en-US">The rapid growth of sensitive digital infrastructures and automation systems has intensified the demand for uninterrupted and high-quality power delivery. To address this critical need, this paper proposes a novel hybrid intelligent control strategy for uninterruptible power supply (UPS) inverters that integrates backstepping control, fuzzy neural network (FNN) adaptation, and sliding mode gain compensation. The proposed approach ensures superior voltage regulation and robustness under nonlinear and dynamic load conditions while minimizing dependence on predefined system parameters. The backstepping controller establishes the Lyapunov-based stability framework, the FNN adaptively estimates system uncertainties in real time, and the sliding mode gain enhances resilience against external disturbances. This synergistic control integration enables fast dynamic response, reduced harmonic distortion, and improved system efficiency compared to conventional methods. Simulation and experimental validations demonstrate that the proposed controller achieves total harmonic distortion (THD) below 3%, voltage overshoot under 2%, and enhanced transient recovery, thereby ensuring reliable power quality for critical industrial and commercial applications. The study contributes a real-time feasible, adaptive, and robust UPS inverter control architecture, marking a significant advancement in intelligent power electronics for resilient energy systems.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2026-06-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/24263</dc:identifier>
	<dc:identifier>10.11591/ijpeds.v17.i2.pp1069-1083</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 17, No 2: June 2026; 1069-1083</dc:source>
	<dc:source>2722-256X</dc:source>
	<dc:source>2088-8694</dc:source>
	<dc:source>10.11591/ijpeds.v17.i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/24263/15239</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 G. Anjali Devi, Swapna Ganapaneni, L. Sirisaiah, Lokesh Kotha, Subhash Manchikanti, Malligunta Kiran Kumar, T. Rakesh, K. V. Govardhan Rao</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>