Research Article

Voltage Sensorless Control of Reduced-Order Elementary Super-Lift Luo Converter using Extended Kalman Filter

Volume: 10 Number: 4 October 16, 2026

Voltage Sensorless Control of Reduced-Order Elementary Super-Lift Luo Converter using Extended Kalman Filter

Abstract

Sensorless control approaches can enhance system reliability while reducing sensor cost in dc/dc converters. In this paper, an extended Kalman filter based voltage sensorless control system is proposed to estimate both the input and output voltages of an elementary super-lift Luo converter using a reduced-order model, thereby decreasing the number of sensors. To regulate the output voltage of the elementary super-lift Luo converter, a proportional-integral controller with a reduced number of tuning parameters is designed to minimize steady-state error. The proposed method is evaluated in the MATLAB/Simulink environment under stepwise input/output voltage variations and ramp input voltage variation. The voltage sensorless control system achieves high estimation accuracy with mean absolute error values of 0.2082 V (stepwise input voltage variation), 0.2272 V (stepwise output voltage variation), and 0.1620 V (ramp and stepwise input voltage variation) for the three test scenarios, respectively. In addition, the proportional-integral controller provides a settling time of approximately 55 ms while maintaining negligible steady-state error for all scenarios. The obtained results demonstrate that the proposed voltage sensorless control system provides accurate voltage estimation, robust dynamic performance, and reduced sensor dependency, making it a promising solution for high-performance and cost-effective dc/dc converter applications.

Keywords

References

  1. Gülbudak, O., & Gökdağ, M. (2022). Performance evaluation of model predictive control method for neutral point clamped inverter. Turkish Journal of Engineering, 6(3), 245-250. https://doi.org/10.31127/tuje.962857.
  2. Keçecioğlu, O.F., Gani, A., & Sekkeli, M., (2021). Improved hybrid intelligent controller design for MPPT of stand-alone PV System. Turkish Journal of Engineering, 5(1), 20-28. https://doi.org/10.31127/tuje.652229.
  3. Gauswami, A., & Shah, H. (2026). A comparative simulation–hardware co-validation framework for SEPIC and full-bridge DC–DC converters in electric vehicle battery charging via dSPACE DS1104. Turkish Journal of Engineering, 10(2), 534-547. https://doi.org/10.31127/tuje.1828170.
  4. Gani, A., (2025). Advanced controller design based on interval type-2 fuzzy neural network for elementary super-lift Luo converter. Transactions of the Institute of Measurement and Control, 47(10), 1953-1963.https://doi.org/10.1177/0142331224127576.
  5. Gani, A., (2021). Improving dynamic efficiency of photovoltaic generation systems using adaptive type-2 fuzzy neural network via EN 50530 test procedure. International Journal of Circuit Theory and Applications, 49(11), 3922–3940. https://doi.org/10.1002/cta.3139.
  6. Gani, A., (2023). PD-type-2 fuzzy neural network based control of a super-lift Luo converter designed for sustainable future energy applications. In: Kahraman, C., Sari, I.U., Oztaysi, B., Cebi, S., Cevik Onar, S., Tolga, A.Ç. (eds) Intelligent and Fuzzy Systems. INFUS 2023. Lecture Notes in Networks and Systems, vol 758. Springer, Cham.https://doi.org/10.1007/978-3-031-39774-5_62.
  7. Gani, A., (2023). PEM yakıt hücresi ömrünü uzatmaya yönelik temel seri pozitif süper gerilim yükseltmeli Luo çevirici tasarımı. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, 39(3), 403-416. https://izlik.org/JA84NU86LC.
  8. Toren, M., Kaba, B., & Öztürk, G., (2025). Performance comparison of boost and super-lift Luo converters in solar energy systems using fuzzy logic based MPPT control. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, https://doi.org/10.65206/pajes.92724.

Details

Primary Language

English

Subjects

Electrical Circuits and Systems

Journal Section

Research Article

Publication Date

October 16, 2026

Submission Date

April 22, 2026

Acceptance Date

July 4, 2026

Published in Issue

Year 2026 Volume: 10 Number: 4

APA
Gani, A., & Demir, R. (2026). Voltage Sensorless Control of Reduced-Order Elementary Super-Lift Luo Converter using Extended Kalman Filter. Turkish Journal of Engineering, 10(4), 1229-1236. https://doi.org/10.31127/tuje.1935755
AMA
1.Gani A, Demir R. Voltage Sensorless Control of Reduced-Order Elementary Super-Lift Luo Converter using Extended Kalman Filter. TUJE. 2026;10(4):1229-1236. doi:10.31127/tuje.1935755
Chicago
Gani, Ahmet, and Rıdvan Demir. 2026. “Voltage Sensorless Control of Reduced-Order Elementary Super-Lift Luo Converter Using Extended Kalman Filter”. Turkish Journal of Engineering 10 (4): 1229-36. https://doi.org/10.31127/tuje.1935755.
EndNote
Gani A, Demir R (October 1, 2026) Voltage Sensorless Control of Reduced-Order Elementary Super-Lift Luo Converter using Extended Kalman Filter. Turkish Journal of Engineering 10 4 1229–1236.
IEEE
[1]A. Gani and R. Demir, “Voltage Sensorless Control of Reduced-Order Elementary Super-Lift Luo Converter using Extended Kalman Filter”, TUJE, vol. 10, no. 4, pp. 1229–1236, Oct. 2026, doi: 10.31127/tuje.1935755.
ISNAD
Gani, Ahmet - Demir, Rıdvan. “Voltage Sensorless Control of Reduced-Order Elementary Super-Lift Luo Converter Using Extended Kalman Filter”. Turkish Journal of Engineering 10/4 (October 1, 2026): 1229-1236. https://doi.org/10.31127/tuje.1935755.
JAMA
1.Gani A, Demir R. Voltage Sensorless Control of Reduced-Order Elementary Super-Lift Luo Converter using Extended Kalman Filter. TUJE. 2026;10:1229–1236.
MLA
Gani, Ahmet, and Rıdvan Demir. “Voltage Sensorless Control of Reduced-Order Elementary Super-Lift Luo Converter Using Extended Kalman Filter”. Turkish Journal of Engineering, vol. 10, no. 4, Oct. 2026, pp. 1229-36, doi:10.31127/tuje.1935755.
Vancouver
1.Ahmet Gani, Rıdvan Demir. Voltage Sensorless Control of Reduced-Order Elementary Super-Lift Luo Converter using Extended Kalman Filter. TUJE. 2026 Oct. 1;10(4):1229-36. doi:10.31127/tuje.1935755
Flag Counter