RED FOX-BASED FRACTIONAL ORDER FUZZY PID CONTROLLER FOR SMART LED DRIVER CIRCUIT
DOI:
https://doi.org/10.59277/RRST-EE.2023.4.12Keywords:
High-power light emitting diodes, Transformerless boost converter, Fractional order PID controller, Fuzzy controller, Red fox optimization algorithmAbstract
Recently, traditional lighting has been replaced by high-power LED (HPLED) due to its significant developments, prolonged lifetime, high brightness, high reliability, and high energy efficiency. Even though conventional converters can precisely match each LED's current, they have some limitations when driving a long string of LEDs. To solve this issue, this paper presents a novel red fox optimized fractional order fuzzy PID Controller (RF-FOFPID) based high gain improved transformerless dc-dc (ITDC) boost converter for a smart LED driver circuit with optimal voltage regulation capability. The error bias is increased to zero by applying FOPID to the fuzzy logic-based compensation steps. The Red Fox optimization algorithm is used to adjust the control parameters of the fractional-level fuzzy PID controller with higher precision to solve limited problems with diverse search spaces. The Simulink model of the proposed converter was created using the MATLAB software tool Simulink and compared with controllers using fractional order PID, fuzzy PID, and conventional proportional integral derivative (PID). The results demonstrated that in terms of minimum overshoot, settling time, rise time, and steady-state error, the proposed converter based on RF-FOFPID outperforms current converters in voltage regulation.
References
(1) M. Zhao, Q. Zhang, Z. Xia, Narrow-band emitters in LED backlights for liquid-crystal displays, Materials Today, 40, pp. 246–265 (2020).
(2) Y. Huang, E.L. Hsiang, M. Y. Deng, S. T. Wu, Mini-LED, micro-LED and OLED displays: present status and future perspectives, Light: Science & Applications, 9, 1, pp. 1–16 (2020).
(3) A. Tepljakov, B.B. Alagoz, C. Yeroglu, E. Gonzalez, S.H. Hossein Nia, E. Petlenkov, FOPID controllers and their industrial applications: A survey of recent results, IFAC-PapersOnLine, 51, 4, pp. 25–30 (2018).
(4) Y. Arya, A novel CFFOPI-FOPID controller for AGC performance enhancement of single and multi-area electric power systems, ISA transactions, 100, pp. 126–135 (2020).
(5) A. Mohanty, M. Viswavandya, S. Mohanty, An optimised FOPID controller for dynamic voltage stability and reactive power management in a stand-alone micro grid, International Journal of Electrical Power & Energy Systems, 78, pp. 524–536 (2016).
(6) M.A. George, D.V. Kamat, C.P. Kurian, Electronically tunable ACO based fuzzy FOPID controller for effective speed control of electric vehicle, IEEE Access, 9, pp. 73392–73412 (2021).
(7) C. Zhou, Q. Zhang, D. Ezechias, Y. Gao, H. Deng, S. Qu, A general digital PID controller based on PWM for buck converter, in Proceeding of the 11th World Congress on Intelligent Control and Automation, IEEE, pp. 4596–4599 (2014).
(8) W. Widonarko, G.A. Rahardi, C. Avian, W. Hadi, D. W. Herdianto, P.L. Satrio, Driver for led lamp with buck converter controlled by PID, International Seminar on Intelligent Technology and Its Applications (ISITIA).
(9) C.C. Raicu, G.C. Seritan, B.A. Enache, 48 V network adoption for automotive lighting systems Rev. Roum. Sci. Techn. – Électrotechn. Et Énerg., 66, 4, pp. 231–236 (2021).
(10) S.V. Adhul, T. Ananthan, FOPID controller for buck converter, Procedia Computer Science, 171, pp.576-582 (2020).
(11) A. Chakrabarti, P.K. Sadhu, P. Pal, A novel dead-time elimination strategy for voltage source inverters in induction heating systems through fractional order controllers, Rev. Roum. Sci. Techn. – Électrotechn. Et Énerg., 67, 2, pp. 181–185 (2022).
(12) C. Demircan, O.V. Güler, A. Keçebaş, Meta-heuristic algorithm-based optimal PID controller design for power converters, Advances in Artificial Intelligence Research, 1, 2, pp. 67–72 (2021).
(13) M.E. Çimen, Z.B. Garip, A.F. Boz, Chaotic flower pollination algorithm based optimal PID controller design for a buck converter, Analog Integrated Circuits and Signal Processing, 107, 2, pp. 281–298 (2021).
(14) S.M. Ghamari, H.G. Narm, H. Mollaee, Fractional‐order fuzzy PID controller design on buck converter with antlion optimization algorithm, IET Control Theory & Applications, 16, 3, pp. 340–352 (2022).
(15) P. Warrier, P. Shah, Optimal fractional PID controller for buck converter using cohort intelligent algorithm, Applied System Innovation, 4, 3, p. 50 (2021).
(16) L.C. Borin, E. Mattos, C.R. Osorio, G.G. Koch, V.F. Montagner, Robust PID controllers optimized by PSO algorithm for power converters, in IEEE 15th Brazilian Power Electronics Conference and 5th IEEE Southern Power Electronics Conference (COBEP/SPEC), pp. 1–6 (2019).
(17) A.M.S.S. Andrade, T.M.K. Faistel, R.A. Guisso, A. Toebe, Hybrid high voltage gain transformerless dc–dc converter, IEEE Transactions on Industrial Electronics, 69, 3, pp. 2470–2479 (2021).
(18) L.S. Yang, T.J. Liang, J.F. Chen, Transformerless dc–dc converters with high step-up voltage gain, IEEE Transactions on Industrial Electronics, 56, 8, pp. 3144-3152 (2009).
(19) D. Połap, M. Woźniak, Red fox optimization algorithm, Expert Systems with Applications, 166, p. 114107 (2021).
(20) J.G. Malar, V. Thiyagarajan, N.B.M. Selvan, M.D. Raj, Electric vehicle onboard charging via Harris hawks optimization-based fractional-order sliding mode controller, Rev. Roum. Sci. Techn. – Électrotechn. Et Énerg., 68, 1, pp. 30–35 (2023).
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