Comparison between data driven control system of DC shuntmotor using System Identification Process & NARX model

Khan, Rifat Ahmed; Ahmmed, Kamran; Rahman, Nayeer Awsaf

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dc.contributor.author	Khan, Rifat Ahmed
dc.contributor.author	Ahmmed, Kamran
dc.contributor.author	Rahman, Nayeer Awsaf
dc.date.accessioned	2022-04-30T06:47:28Z
dc.date.available	2022-04-30T06:47:28Z
dc.date.issued	2021-03-30
dc.identifier.citation	[1] https://en.wikipedia.org/wiki/Data_science [2] Santana, J., Naredo, J. ., Sandoval, F., Grout, I., & Argueta, O. . (2002). Simulationandconstruction of a speed control for a DC series motor. Mechatronics, 12(9-10), 1145–1156. doi:10.1016/s0957-4158(02)00019-3 [3] https://www.engineeringenotes.com/electrical-engineering/electric-motors/chopper- control-of-dc-motors-operation-and-set-up-electrical-engineering/36996 [4] https://www.mathworks.com/products/sysid.html [5] https://www.mathworks.com/help/deeplearning/ug/design-time-series-narx-feedback- neural-networks.html [6] Malviya, P. (2015) “Speed control of DC Motor a Review”. International Journal ofEngineering sciences & Research Technology [7] Ye Naung1, Anatolii Schagin, Htin Lin Oo, Kyaw Zaw Ye, Zaw Min Khaing©2018IEEE Implementation of Data Driven Control System of DC Motor by UsingSystemIdentification Process [8] https://www.mathworks.com/help/nnet/ug/design-time-series-narx_x0002_feedback- neural-networks.html [9] Hussein, A., Hirasawa, K., Hu, J., Wada, K., 2003. Application of [10] universal learning networks to PV-supplied DC motor drives. Research ReportsonInformation Science and Electrical Engineering of Kyushu University8(2),129–134.) [11] Moleykutty George, "Speed Control of Separately Excited DC Motor" in AmericanJournal of Applied Sciences 5 (3): 227-233, 2008, [12] https://www.electrical4u.com/differential-relay/ [13] https://en.wikipedia.org/wiki/PID_controller [14] S. Bennett, “Development of the PID controller” in IEEE Control Systems Magazine( Volume: 13, Issue: 6, Dec. 1993), DOI: 10.1109/37.248006 [15] https://www.mawdsleysber.co.uk/types-dc-motors/ [16] Rinita Rudra1*, Rumrum Banerjee2 (2017), “Modeling and Simulation of DCMotorSpeed Regulation by Field Current Control Using MATLAB” in International Journal ofComputer Electrical Engineering, Volume 9, Number 2, December 2017 [17] https://en.wikipedia.org/wiki/DC_motor 44 [18] https://www.mathworks.com/help/simulink/slref/step.html [19] https://www.electricaleasy.com/2014/07/characteristics-of-dc-motors.html [20] Anurag Dwivedi, (2013), “Speed Control of DC Shunt Motor with Field and ArmatureRheostat Control Simultaneously” in Advance in Electronic and Electric EngineeringISSN 2231-1297, Volume 3, Number 1 (2013), pp. 77-80 [21] https://www.mathworks.com/products/sysid.html [22] https://www.mathworks.com/help/simulink/slref/transportdelay.html [23] https://www.mathworks.com/help/simulink/slref/transferfcn.html [24] https://www.mathworks.com/help/deeplearning/ug/design-time-series-narx-feedback- neural-networks.html [25] https://www.mathworks.com/help/deeplearning/modeling-and-prediction-with-narx- and-time-delay-networks.html [26] Daniel E. Rivera, Manfred Morari, and Sigurd Skogestad, “Internal model control: PIDcontroller design” in nd. Eng. Chem. Process Des. Dev. 1986, 25, 1, 252–265Publication Date:January 1, 1986 https://doi.org/10.1021/i200032a041 [27] https://www.mathworks.com/help/slcontrol/ug/designing-controllers-with-the-pidtuner.html	en_US
dc.identifier.uri	http://hdl.handle.net/123456789/1458
dc.description	Supervised by Mr. MD. Thesun Al-Amin, Assistant Professor, Department of Electrical and Electronic Engineering(EEE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704.	en_US
dc.description.abstract	This paper presents data-driven control system of DC shunt motor by usingsystemidentification process and NARX model. In this paper we use component base modelingsimilar to real DC shunt motor by using simscape electronic systems for obtaining theinput voltage and output speed of DC motor, the system identification toolbox and the nonlinearautoregressive with exogenous input (NARX) neural network for identification and obtainingthe model of an object. The object model and training the neural network for data drivencontrol system are developed by using MATLAB/SIMULINK platform. So, simulationresults of this paper present the advantage of the suggested control method and the acceptableaccuracy with respect to dynamic characteristics of the system. Also here we present advantage of one data driven control system over the other as well.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT) The Organization of Islamic Cooperation (OIC) Board Bazar, Gazipur-1704, Bangladesh	en_US
dc.title	Comparison between data driven control system of DC shuntmotor using System Identification Process & NARX model	en_US
dc.type	Thesis	en_US