Performance Analysis Stability Of Speed Control Of BLDC Motor Using PID-BAT Algorithm In Electric Vehicle
Analisis Kinerja Stabilitas Kontrol Kecepatan Motor BLDC Menggunakan Algoritma PID-BAT Pada Kendaraan Listrik
Abstract
The research on the development of electric vehicles includes such as power electronics, energy storage capability that the higher the battery, reducing fuel emissions, and the motor efficiency. The electric motor efficiency requires the automatic control on the main parameters such as speed, position, and acceleration. The performance setting of speed Brushless DC (BLDC) Motor can be improved by using the controller Proportional Integral Derivative (PID), a combination of PID using nature inspired optimization algorithms such as Bat Algorithm (BA). BA is one of the optimization algorithm that mimics the behavior of bats on the move using a vibration or sound pulses emitted a very loud (echolocation) and listen to the echoes that bounce back from the object to determine the circumstances surrounding vicinity
In this paper, simulate of Bat Algorithm to find the best value PID controller parameter to speed control BLDC motor and analyze performance such as the value of overshoot, steady state. The result simulation shows that values for the PID parameters without using algorithm bat is Kp = 208.1177, Ki = 1767, and Kd = -8.6025. While using the algorithm bat got value Kp = 5.4303e+04, Ki = -1.3059e+06, and Kd = 3.0193e+04. The performance of the motor obtained through value rise time of 0. 282, settling time of 1.5, overshoot value of 20.5% and the peak value of 1.21.
References
C. Shen, P. Shan, and T. Gao, “A comprehensive overview of hybrid electric vehicles,” Int. J. Veh. Technol., vol. 2011, 2011. DOI: https://doi.org/10.1155/2011/571683
S. Mahapatra, T. Egel, R. Hassan, R. Shenoy, and M. Carone, “Model-Based Design for Hybrid Electric Vehicle Systems,” 2008. DOI: https://doi.org/10.4271/2008-01-0085
J. A. Mohammed, “Modeling, Analysis and Speed Control Design Methods of a DC Motor,” vol. 29, no. 1, pp. 141–155, 2011.
N. Hashemnia and B. Asaei, “Comparative study of using different electric motors in the electric vehicles,” 2008 18th Int. Conf. Electr. Mach., no. c, pp. 1–5, 2008. DOI: https://doi.org/10.1109/ICELMACH.2008.4800157
E. H. E. Bayoumi and H. M. Soliman, “PID / PI tuning for minimal overshoot of permanent-magnet brushless DC motor drive using particle swarm optimization,” Electromotion Sci. J., vol. 14, no. 4, pp. 198–208, 2007.
K. Premkumar and B. V. Manikandan, “Bat algorithm optimized fuzzy PD based speed controller for brushless direct current motor,” Eng. Sci. Technol. an Int. J., 2015. DOI: https://doi.org/10.1016/j.jestch.2015.11.004
M. Zhou, L. Zhao, Y. Zhang, Z. Gao, and R. Pei, “Pure Electric Vehicle Power-train Parameters Matching based on Vehicle Performance,” vol. 8, no. 9, pp. 53–62, 2015. DOI: https://doi.org/10.14257/ijca.2015.8.9.06
S. George, R. V. Chacko, and S. K, “Modelling and simulation of Electric Vehicle Power train in SEQUEL,” IEEE Int. Conf. Power Electron. Drives Energy Syst., 2014. DOI: https://doi.org/10.1109/PEDES.2014.7042149
S. K. A, Y. Laxminarayana, and S. Tarakalyani, “Modeling and Simulation of Bldc Motor for Aiding and Opposing Loads,” IOSR J. Electr. Electron. Eng., vol. 7, no. 4, pp. 9–67, Oct. 2013. DOI: https://doi.org/10.9790/1676-0745967
Y. S. Jeon, H. S. Mok, G. H. Choe, D. K. Kim, and J. S. Ryu, “A new simulation model of BLDC motor with real back EMF waveform,” in The 7th Workshop on Computers in Power Electronics, 2000. COMPEL 2000, 2000, pp. 217–220.
B. Das, S. Chakrabarti, P. R. Kasari, and A. Chakraborti, “Novel reverse regeneration technique of BLDC motor for capacitor charging,” in 2014 International Conference on Control, Instrumentation, Energy and Communication (CIEC), 2014, pp. 246–253. DOI: https://doi.org/10.1109/CIEC.2014.6959088
K. L. Shenoy, “Design Topology and Electromagnetic Field Analysis of Permanent Magnet Brushless DC Motor for Electric Scooter Application,” 2016. DOI: https://doi.org/10.1109/ICEEOT.2016.7754942
T. C. Bora, L. D. S. Coelho, and L. Lebensztajn, “Bat-inspired optimization approach for the brushless DC wheel motor problem,” IEEE Trans. Magn., vol. 48, no. 2, pp. 947–950, 2012. DOI: https://doi.org/10.1109/TMAG.2011.2176108
A. Oi, C. Nakazawa, and T. Matsui, “Development of PSO-based PID Tuning Method,” vol. 2, pp. 1917–1920, 2008.
J. Guo, G. Wu, and S. Guo, “Fuzzy PID algorithm-based motion control for the spherical amphibious robot,” in 2015 IEEE International Conference on Mechatronics and Automation (ICMA), 2015, pp. 1583–1588. DOI: https://doi.org/10.1109/ICMA.2015.7237721
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