Abstract
A mathematical model is a crucial element of a system. This is to ensure the system obtains outstanding performance, particularly when there is a controller included. Thus, in this study, a comparison between DC motor PD controllers with and without system identification will be made with the concept of poles and zeros. Furthermore, the Cohen-Coon tuning method will be applied to tune the parameters of the proposed controller by using the MATLAB/Simulink software. Then, some tests were performed by varying the number of poles and zeros. After that, the performance of the DC motor with the proposed controller will be assessed in terms of transient response aspects. Throughout the study, it can be guaranteed that the process of system identification is needed to ensure that the performance of the DC motor can be enhanced. With that justification, the performance of the DC motor PD controller with two poles and no zero is better compared to the others. It had the shortest rise time of 0.052 s, the shortest settling time of 1.906 s, the shortest peak time of 1.142 s, and the lowest overshoot of 56.56 percent with no steady-state error.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Rahman NNA, Yahya NM (2021) A mathematical model of a brushed DC motor system. Data Anal Appl Math 2(2):60–68
Emhemed AAA, Bin Mamat R (2012) Modelling and simulation for Industrial DC motor using Intelligent control. Procedia Eng 41:420–425
Chotai J, Narwekar K (2017) Modelling and position control of brushed DC motor. In: 2017 international conference on advances in computing, communication and control (ICAC3), pp 1–5
Kimbrell J (2016) The DC motor advantage. https://www.processingmagazine.com/pumps-motors-drives/article/15586862/the-dc-motor-advantage. Accessed 01 Jun 2022
Boskovic MC, Rapaic MR, Sekara TB, Ponjavic M, Barjaktarovic M, Lutovac B (2019) Novel tuning rules of PD controller for industrial processes. In: 2019 8th mediterranean conference on embedded computing (MECO), June, pp 1–5
Surya S, Singh DB (2019) Comparative study of P, PI, PD and PID controllers for operation of a pressure regulating valve in a blow-down wind tunnel. In: 2019 IEEE international conference on distributed computing, VLSI, electrical circuits and robotics (DISCOVER), August, pp 1–3
Valousek L, Jalovecky R (2021) Use of the MATLAB® system identification toolbox® for the creation of specialized software for parameters identification. In: 2021 international conference on military technologies (ICMT), June, pp 1–5
Donjaroennon N, Nuchkum S, Leeton U (2021) Mathematical model construction of DC Motor by closed-loop system Identification technique using Matlab/Simulink. In: 2021 9th international electrical engineering congress (iEECON), March, pp 289–292
Ljung L (2010) Perspectives on system identification. Annu Rev Control 34(1):1–12
Kefal A, Maruccio C, Quaranta G, Oterkus E (2019) Modelling and parameter identification of electromechanical systems for energy harvesting and sensing. Mech Syst Signal Process 121:890–912
Arifin B, Nugroho AA, Suprapto B, Prasetyowati SAD, Nawawi Z (2021) Review of method for system identification on motors. In: 2021 8th international conference on electrical engineering, computer science and informatics (EECSI), October, pp 257–262
Naung Y, Schagin A, Oo HL, Ye KZ, Khaing ZM (2018) Implementation of data driven control system of DC motor by using system identification process. In: 2018 IEEE conference of Russian young researchers in electrical and electronic engineering (EIConRus), January, pp 1801–1804
Sharma K, Palwalia DK (2017) A modified proportional integral derivative control with adaptive fuzzy controller applied to direct current motor. In: 2017 international conference on information, communication, instrumentation and control (ICICIC), August, pp 1–6
Craig K (2012) The significance of poles and zeros. https://www.edn.com/the-significance-of-poles-and-zeros-2/. Accessed 05 Jun 2022
Ribeiro JMS, Santos MF, Carmo MJ, Silva MF (2017) Comparison of PID controller tuning methods: analytical/classical techniques versus optimization algorithms. In: 2017 18th International Carpathian control conference, ICCC 2017, pp 533–538
Bennett J, Bhasin A, Grant J, Lim WC (2022) 9.3 : PID tuning via classical methods. Engineering LibreTexts. https://eng.libretexts.org/Bookshelves/Industrial_and_Systems_Engineering/Book%3A_Chemical_Process_Dynamics_and_Controls_(Woolf)/09%3A_Proportional-Integral-Derivative_(PID)_Control/9.03%3A_PID_Tuning_via_Classical_Methods#:~:text=Removeintegralandderi. Accessed 05 Jun 2022
Smuts J (2011) Cohen-Coon Tuning Rules. https://blog.opticontrols.com/archives/383. Accessed 05 Jun 2022
Collins D (2022) What are PID gains and feed-forward gains?. https://www.motioncontroltips.com/faq-what-are-pid-gains-and-feed-forward-gains/. Accessed 05 Jun 2022
Jenkins (2014) Tuning for PID controllers. http://faculty.mercer.edu/jenkins_he/documents/TuningforPIDControllers.pdf. Accessed 06 Jun 2022
Akpama EE, Ezenwosu R (2021) Simulink design of a DC motor control for water pump using fuzzy logic. In: 2nd international conference on electrical power engineering (ICEPENG 2021), July, pp 16–19
Chong SH, Tze Ter T, Sakthivelu V (2015) Positioning control of ball screw system driven by DC motor. Appl Mech Mater 761:142–147
Acknowledgements
The authors would like to thank Universiti Malaysia Pahang for providing financial support under Post Graduate Research Scheme (PGRS) (Grant No. PGRS210365) and the Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang for laboratory facilities.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ab Rahman, N.N., Mat Yahya, N. (2023). A Mathematical Model of PD Controller-Based DC Motor System Using System Identification Approach. In: Abdullah, M.A., et al. Advances in Intelligent Manufacturing and Mechatronics. Lecture Notes in Electrical Engineering, vol 988. Springer, Singapore. https://doi.org/10.1007/978-981-19-8703-8_22
Download citation
DOI: https://doi.org/10.1007/978-981-19-8703-8_22
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-8702-1
Online ISBN: 978-981-19-8703-8
eBook Packages: EngineeringEngineering (R0)