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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 |