Abstract
This article presents a novel hybrid control scheme for speed control of Brushless DC (BLDC) motor by simultaneously controlling BLDC motor reference current and inverter DC bus voltage. A fractional-order PID (FOPID) controller is employed to control BLDC motor reference current while a fuzzy logic controller manipulates the inverter DC bus voltage. A modified harmony search (HS) metaheuristic technique is developed for FOPID controller parameters tuning. Three different operating conditions are applied to test the motor, including no-load operation, varying load operation, and varying speed operation to verify the proposed controller’s effectiveness. Furthermore, the proposed hybrid control strategy has been compared to Fuzzy-based and FOPID-based speed control schemes. The obtained results confirm that the proposed control scheme provides better and accurate speed control over a wide range of speeds. Also, the proposed controller decreases the torque ripples under different operating conditions.
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References
Yedamale, P.: “Brushless DC (BLDC) motor fundamentals,” Microchip Technology Inc., 2003.
Xia, C.L.: Permanent Magnet Brushless DC Motor Drives and Controls. Wiley, New York (2012)
Padula, F.; Visioli, A.: Tuning rules for optimal PID and fractional-order PID controllers. J. Process Control 21(1), 69–81 (2011)
Cajo, R.; Mac, T.T.; Plaza, D.; Copot, C.; De Keyser, R.; Ionescu, C.: A Survey on Fractional Order Control Techniques for Unmanned Aerial and Ground Vehicles. IEEE Access 7, 66864–66878 (2019)
Chen, Y. Q.; Petráš, I.; Xue, D.: “Fractional order control - A tutorial,” In: Proceedings of American Control Conference, pp. 1397–1411 (2009)
Xuet, D.; Chen, Y.: A comparative introduction of four fractional order controllers. In: Proceedings of the 4th World Congress on Intelligent Control and Automation, pp. 3228–3235 (2002)
Termous, H.; Moreau, X.; Francis, C.; Shraim, H.: From the standard PID to the CRONE first generation controller: Application to an anti-roll system for Electric Vehicles. IFAC-PapersOnLine 51(4), 733–738 (2018)
Podlubny, I.: Fractional-order systems and fractional-order controllers. Inst. Exp. Phys., Slovak Acad. Sci. 12(3), 1–18 (1994)
Shah, P.; Agashe, S.: Review of fractional PID controller. Mechatronics 38, 29–41 (2016)
Valério, D.; Sá Da Costa, J.: “A review of tuning methods for fractional PIDs,” In: 4th IFAC Workshop on Fractional Differentiation and its Applications, p. 13 (2010).
Shaheen, A.M.; Spea, S.R.; Farrag, S.M.; Abido, M.A.: A review of meta-heuristic algorithms for reactive power planning problem. Ain Shams Eng. J. 9(2), 215–231 (2018)
Chang, L.Y.; Chen, H.C.: Tuning of fractional PID controllers using adaptive genetic algorithm for active magnetic bearing system. WSEAS Trans. Syst. 8(1), 158–167 (2009)
Aghababa, M.P.: Optimal design of fractional-order PID controller for five bar linkage robot using a new particle swarm optimization algorithm. Soft. Comput. 20(10), 4055–4067 (2016)
Haji Haji, V.; Monje, C.A.: Fractional-order PID control of a chopper-fed DC motor drive using a novel firefly algorithm with dynamic control mechanism. Soft. Comput. 22(18), 6135–6146 (2018)
Li, C.; Zhang, N.; Lai, X.; Zhou, J.; Xu, Y.: Design of a fractional-order PID controller for a pumped storage unit using a gravitational search algorithm based on the Cauchy and Gaussian mutation. Inf. Sci. (Ny) 396, 162–181 (2017)
K. M. Passino; S. Yurkovich, Fuzzy control. 2010.
El-samahy, A.A.; Shamseldin, M.A.: Brushless DC motor tracking control using self-tuning fuzzy PID control and model reference adaptive control. Ain Shams Eng. J. 9(3), 341–352 (2018)
Shamseldin, M.A.; Ghany, M.A.A.; Ghany, A.M.A.: Performance study of enhanced nonlinear PID control applied on brushless DC motor. Int. J. Power Electron. Drive Syst. 9(2), 536–545 (2018)
Gobinath, S.; Madheswaran, M.: Deep perceptron neural network with fuzzy PID controller for speed control and stability analysis of BLDC motor. Soft. Comput. 24(13), 10161–10180 (2020)
Maharajan, M.P.; Xavier, S.A.E.: Design of Speed Control and Reduction of Torque Ripple Factor in BLdc Motor Using Spider Based Controller. IEEE Trans. Power Electron. 34(8), 7826–7837 (2019)
Baharudin, N.N.; Ayob, S.M.: “Brushless DC motor drive control using Single Input Fuzzy PI Controller (SIFPIC),” 2015 IEEE Conf. Energy Conversion, CENCON 2015, 13–18 (2015)
Potnuru, D.; Tummala, A.S.L.V.: Grey wolf optimization-based improved closed-loop speed control for a BLDC motor drive. Smart Innov. Syst. Technol. 104, 145–152 (2019)
Prabhu, P.; Urundady, V.: One-Cycle Controlled Bridgeless SEPIC with Coupled Inductors for PAM Control-Based BLDC Drive. Arab. J. Sci. Eng. 44(8), 6987–7001 (2019)
Khorrami, F.; Krishnamurthy, P.; Melkote, H.: Modeling and Adaptive Nonlinear Control of Electric Motors, 3rd edn, p. 523. Springer Science & Business Media, Berlin (2003)
Geem, Z.W.; Kim, J.H.; Loganathan, G.V.: A New Heuristic Optimization Algorithm: Harmony Search. Simulation 76(2), 60–68 (2001)
Geem, Z. (ed.): Music-Inspired Harmony Search Algorithm. Springer, Heidelberg (2009)
Zhang, T.; Geem, Z.W.: Review of harmony search with respect to algorithm structure. Swarm Evol. Comput. 48, 31–43 (2019)
Lee, K.S.; Geem, Z.W.: A new meta-heuristic algorithm for continuous engineering optimization: Harmony search theory and practice. Comput. Methods Appl. Mech. Eng. 194(36–38), 3902–3933 (2005)
Cheng, Y.M.; Li, L.; Lansivaara, T.; Chi, S.C.; Sun, Y.J.: An improved harmony search minimization algorithm using different slip surface generation methods for slope stability analysis. Eng. Optim. 40(2), 95–115 (2008)
Mahdavi, M.; Fesanghary, M.; Damangir, E.: An improved harmony search algorithm for solving optimization problems. Appl. Math. Comput. 188(2), 1567–1579 (2007)
Acknowledgement
The authors would like to acknowledge the support provided by King Fahd University of Petroleum & Minerals through the Direct Fund Project # DF191004. Dr. Abido would also like to acknowledge the funding support provided by King Abdullah City for Atomic and Renewable Energy (K.A.CARE), Energy Research & Innovation Center (ERIC), KFUPM.
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A Mohammed Eltoum, M., Hussein, A. & Abido, M.A. Hybrid Fuzzy Fractional-Order PID-Based Speed Control for Brushless DC Motor. Arab J Sci Eng 46, 9423–9435 (2021). https://doi.org/10.1007/s13369-020-05262-3
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DOI: https://doi.org/10.1007/s13369-020-05262-3