A concepts and techniques related to the DC motor speed control system design: Systematic Review
DOI:
https://doi.org/10.31185/wjcm.121Keywords:
DC Motor, Controller, PWM, PIDAbstract
The first sources of direct current (DC) were invented, DC machines were one of the first types of electro-mechanical machines used. DC machines are more advantageous over AC machines as regards to Speed regulation and versatility. A DC motor is an electrical actuator with a lot of control that is used in a lot of applications, like robotic manipulators, guided vehicles, steel rolling mills, cutting tools, overhead cranes, electrical traction, and other applications. Due to their speed-torque characteristics and ease of control, DC motors are utilized extensively in industries for demanding variable speed applications. In terms of controller design and implementation, the process control industry has seen numerous advancements over the past two decades. In the industry, there is a great demand for automatic controllers that can respond quickly and accurately to perform precise tasks. The feedback loop is an essential component of system control that must be utilized in order to achieve the desired performance in the majority of systems. Numerous control strategies have been developed for various feedback control systems in order to achieve rapid system dynamic response. Controls in a drive system are crucial if the reference speed is to be accurately and quickly tracked, with little or no steady-state error and as little overshoot as possible. This paper presents the Systematic literature review that was conducted as covers pertinent established concepts and techniques related to the DC motor speed control system design, for applications that require actuators with accurate speed characteristics. Simulation and real time implementation results employed for DC motor speed control systems in various literature are analysed and discussed.
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References
N. E. Ouanjli, S. Motahhir, A. Derouich, A. E. Ghzizal, A. Chebabhi, and M. Taoussi, “Improved DTC strategy of doubly fed induction motor using fuzzy logic controller,” Energy Rep, vol. 5, pp. 271–279, 2019.
G. Farahani and K. Rahmani, “Speed Control of a Separately Excited DC Motor Using New Proposed Fuzzy Neural Algorithm Based on FOPID Controller,” J. Control. Autom. Electr. Syst, vol. 30, pp. 728–740, 2019.
W. I. Hameed, B. A. Sawadi, and A. Muayed, “Voltage Tracking Control of DC-DC Boost Converter Using Fuzzy Neural Network,” Int. J. Power Electron. Drive Syst, vol. 9, pp. 1657–1665, 2018.
D. Bista, “Understanding and Design of an Arduino-based GRNN algorithm,” 2016.
S. Dani and D. Ingole, “Performance evaluation of GRNN, LQR and MPC for DC motor speed control,” 2017.
A. P. Engelbrecht, Computational Intelligence. An Introduction. South Africa: John Wiley and Sons, Ltd, 2007.
I. S. Fatah, Iwo-Based, Tunning, G. A. For, Speed, Of, and Motor, “IWO-BASED TUNNING OF GRNN ALGORITHM FOR SPEED CONTROL
OF DC MOTOR,” 2014.
T. N. G. ucin, M. B. glu, B. Fincan, and M. O. G. ulbahc¸e, “Tuning Cascade PI(D) Controllers in PMDC Motor Drives: A Performance,” 2015.
M. Gajanan, “Design of GRNN algorithm for improved performance of higher order systems,” 2011.
B. N. Getu, “Tuning the Parameters of the GRNN algorithm Using Matlab,” Journal of Engineering and Applied Sciences, 2019.
J. U. Liceaga-Castro, I. I. Siller-Alcalá, and R. A. Alcántara-Ramírez, “Least Square Identification using Noise Reduction Disturbance Observer,” Trans. Syst, vol. 18, pp. 313–318, 2019.
F. Wang, R. Wang, E. Liu, and W. Zhang, “Stabilization Control Mothed for Two-Axis Inertially Stabilized Platform Based on Active Disturbance Rejection Control with Noise Reduction Disturbance Observer,” IEEE Access, vol. 7, pp. 99521–99529, 2019.
T. He and Z. Wu, “Extended Disturbance Observer with Measurement Noise Reduction for Spacecraft Attitude Stabilization,” IEEE Access, vol. 7, pp. 6137–66147, 2019.
J. H. She, M. X. Fang, Y. Ohyama, H. Hashimoto, and M. Wu, “Improving disturbance-rejection performance based on an equivalent inputdisturbance approach,” IEEE Trans. Ind. Electron, vol. 1, pp. 380–389, 2008.
J. H. She, X. Xin, and Y. D. Pan, “Equivalent-input-disturbance approach-Analysis and application to disturbance rejection in dual-stage feed drive control system,” IEEE/ASME Trans. Mechatronics, vol. 16, pp. 330–340, 2011.
E. Vazquez-Sanchez, J. Gomez-Gil, and J. C. Gamazo-Real, “A New Method for Sensorless Estimation of the Speed and Position in Brushed DC Motors Using Support Vector Machines,” IEEE Trans. Ind. Electron, vol. 59, pp. 1397–1408, 2012.
P. Radcliffe and D. Kumar, “Sensorless speed measurement for brushed DC motors,” IET Power Electron, vol. 8, pp. 2223–2228, 2015.
E. Vazquez-Sanchez, J. Sottile, and J. Gomez-Gil, “A Novel Method for Sensor less Speed Detection of Brushed DC Motors,” Appl. Sci, vol. 7, pp. 14–14, 2016.
M. Vidlak, P. Makys, and M. Stano, “Comparison between model based and non-model based sensorless methods of brushed DC motor,” Transp. Res. Procedia, vol. 55, pp. 911–918, 2021.
M. R. Gharib, “Comparison of robust optimal QFT controller with TFC and MFC controller in a multi-input multi-output system,” Rep. Mech. Eng, vol. 2020, pp. 151–161.
D. Bozanic, D. T. c, D. M. c, and A. M. c, “Modeling of neuro-fuzzy system as a support in decision-making processes,” Rep. Mech. Eng, vol. 2021, pp. 222–234.
B. A. Obaid, A. L. Saleh, and A. K. Kadhim, “Resolving of optimal fractional PID controller for DC motor drive based on anti-windup by invasive weed optimization technique,” Indones. J. Electr. Eng. Comput. Sci, vol. 15, pp. 95–103, 2019.
Q. Wang and F. He, “The Synchronous Control of Multi-Motor Drive Control System with Floating Compensation,” in Proceedings of the 2016 12th World Congress on Intelligent Control and Automation (WCICA), pp. 1940–1954, 2016.
N. E. Ouanjli, M. Taoussi, A. Derouich, A. Chebabhi, A. E. Ghzizal, and B. Bossoufi, “High Performance Direct Torque Control of Doubly Fed Induction Motor using Fuzzy Logic. Gazi Univ,” J. Sci, vol. 31, pp. 532–542, 2018.
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Copyright (c) 2023 Muhammad Hilal Mthboob, Haider TH. Salim ALRikabi, Ibtisam A. Aljazaery
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