Analysis Of Continuous And Discrete Control Systems Using PID Controller

The Proportional-Integral-Derivative (PID) control strategy should be understood as a huge part in the engineering education oriented on process control. At the same time, this education could be difficult because of control system transfer function nature; some of this function has a long decimal n...

Full description

Saved in:
Bibliographic Details
Main Author: Khalaf, Aswaq Abdulameer
Format: Thesis
Language:English
English
Published: 2016
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/18386/1/Analysis%20Of%20Continuous%20And%20Discrete%20Control%20Systems%20Using%20PID%20Controller.pdf
http://eprints.utem.edu.my/id/eprint/18386/2/Analysis%20Of%20Continuous%20And%20Discrete%20Control%20Systems%20Using%20PID%20Controller.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-utem-ep.18386
record_format uketd_dc
institution Universiti Teknikal Malaysia Melaka
collection UTeM Repository
language English
English
topic Q Science (General)
QA Mathematics
spellingShingle Q Science (General)
QA Mathematics
Khalaf, Aswaq Abdulameer
Analysis Of Continuous And Discrete Control Systems Using PID Controller
description The Proportional-Integral-Derivative (PID) control strategy should be understood as a huge part in the engineering education oriented on process control. At the same time, this education could be difficult because of control system transfer function nature; some of this function has a long decimal numbers which make the mathematical calculation and system response analysis difficult. Applying suitable software using Graphical User Interface (GUI) windows able to contribute to enhance the quality of education and give a better understanding of the PID control. This work explains the PID controller three-term parameters affecting the closed-loop control system response. Ziegler-Nichols and manual tuning methods are used for setting the PID controller parameters in s-domain. The discrete-time PID controller is the most popular controller because of the technology development in the last few decades. The PID controller parameters are set in s-domain before they are converted into z-domain using one of the conversion methods. The conversion of the control system with PID controller is quite difficult. This dissertation discusses some of the common conversion methods that are used to convert the PID controller transfer function from continuous-time to the discrete-time and then analyzing the system response behavior in z-domain. The analysis of the control system in z-domain is more difficult compared to the s-domain. By using the GUI/MATLAB windows it improves education quality and gives more understanding of both the continuous-time and the discrete-time systems with the PID controller. A typical test on three case studies composing the third-order plant, speed control and position control of DC motor are used to show the implementation of these conversion methods and quality of the resulting z-domain systems. The simulation results from the GUI/MATLAB windows show the effect of sampling time on each one of the selected conversion methods.
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Khalaf, Aswaq Abdulameer
author_facet Khalaf, Aswaq Abdulameer
author_sort Khalaf, Aswaq Abdulameer
title Analysis Of Continuous And Discrete Control Systems Using PID Controller
title_short Analysis Of Continuous And Discrete Control Systems Using PID Controller
title_full Analysis Of Continuous And Discrete Control Systems Using PID Controller
title_fullStr Analysis Of Continuous And Discrete Control Systems Using PID Controller
title_full_unstemmed Analysis Of Continuous And Discrete Control Systems Using PID Controller
title_sort analysis of continuous and discrete control systems using pid controller
granting_institution Universiti Teknikal Malaysia Melaka
granting_department Faculty Of Electrical Engineering
publishDate 2016
url http://eprints.utem.edu.my/id/eprint/18386/1/Analysis%20Of%20Continuous%20And%20Discrete%20Control%20Systems%20Using%20PID%20Controller.pdf
http://eprints.utem.edu.my/id/eprint/18386/2/Analysis%20Of%20Continuous%20And%20Discrete%20Control%20Systems%20Using%20PID%20Controller.pdf
_version_ 1747833928709832704
spelling my-utem-ep.183862021-10-08T13:27:59Z Analysis Of Continuous And Discrete Control Systems Using PID Controller 2016 Khalaf, Aswaq Abdulameer Q Science (General) QA Mathematics The Proportional-Integral-Derivative (PID) control strategy should be understood as a huge part in the engineering education oriented on process control. At the same time, this education could be difficult because of control system transfer function nature; some of this function has a long decimal numbers which make the mathematical calculation and system response analysis difficult. Applying suitable software using Graphical User Interface (GUI) windows able to contribute to enhance the quality of education and give a better understanding of the PID control. This work explains the PID controller three-term parameters affecting the closed-loop control system response. Ziegler-Nichols and manual tuning methods are used for setting the PID controller parameters in s-domain. The discrete-time PID controller is the most popular controller because of the technology development in the last few decades. The PID controller parameters are set in s-domain before they are converted into z-domain using one of the conversion methods. The conversion of the control system with PID controller is quite difficult. This dissertation discusses some of the common conversion methods that are used to convert the PID controller transfer function from continuous-time to the discrete-time and then analyzing the system response behavior in z-domain. The analysis of the control system in z-domain is more difficult compared to the s-domain. By using the GUI/MATLAB windows it improves education quality and gives more understanding of both the continuous-time and the discrete-time systems with the PID controller. A typical test on three case studies composing the third-order plant, speed control and position control of DC motor are used to show the implementation of these conversion methods and quality of the resulting z-domain systems. The simulation results from the GUI/MATLAB windows show the effect of sampling time on each one of the selected conversion methods. 2016 Thesis http://eprints.utem.edu.my/id/eprint/18386/ http://eprints.utem.edu.my/id/eprint/18386/1/Analysis%20Of%20Continuous%20And%20Discrete%20Control%20Systems%20Using%20PID%20Controller.pdf text en public http://eprints.utem.edu.my/id/eprint/18386/2/Analysis%20Of%20Continuous%20And%20Discrete%20Control%20Systems%20Using%20PID%20Controller.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=100304 mphil masters Universiti Teknikal Malaysia Melaka Faculty Of Electrical Engineering 1. A.Johnson, M. and H.Moradi, M., 2005. PID Control New Identification and Design Methods, Springer-Verlag London Limited, London. 2. Aggarwal, S., Garg, M. and Swarup, A., 2012. Comparative Analysis of Traditional and Modern Controllers for Piezoelectric Actuated Nanopositioner. International Journal of Nano Devices, Sensors and Systems (IJ-Nano), 1(2), pp.53–64. 3. Astrom, K.J., 2002. PID Control. In: Control System Design. pp. 216–251. 4. Aström, K.J.˚ and Murray, R.M., 2009. Feedback Systems An Introduction for Scientists and Engineers 2nd ed., Princeton University Press, New Jersey. 5. Astrom, K.J. and Hagglund, T., 1995. PID Controllers: Theory, Design, and Tuning. 2nd ed., Instrument Society of America. 6. Basilio, J.C. and Matos, S.R., 2002. Design of PI and PID controllers with transient performance specification. IEEE Transactions on Education, 45(4 November), pp.364–370. 7. Bennett, S., 1993. Development of the PID Controller. IEEE Control Systems, pp.58–65. 8. Bennett, S., 2001. The Past of PID controllers,. Annual Review in Control, 25, pp.43–53. 9. Bequette, B.W., 2002. Process Control: Modeling, Design, and Simulation, Prentice Hall PTR. 10. Bucek, V.J., 1989. Control Systems Continuous and Discrete, Prentice-Hall, Inc., New Jersey. 11. Chander, S., Agarwal, P. and Gupta, I., 2011. Auto-tuned, discrete PID controller for DC-DC converter for fast transient response. India International Conference on Power Electronics, IICPE 2010. 12. Chin, H.H., 2006. All Digital Design and Implementaion of Proportional-. University of Kentucky UKnowledge. 13. Copeland, B., 2008. The Design of PID Controllers using Ziegler Nichols Tuning. Retrieved, March, pp.1–4. 14. Das, S. et al., 2012. Study on Different Tuning Approach with Incorporation of Simulation Aspect for Z-N (Ziegler-Nichols) Rules. International Journal of Scientific and Research Publications, 2(8), pp.1–5. 15. Dingyu Xue, YangQuan Chen, and D.P.A., 2007. Linear Feedback Control. In: Linear Feedback Control. Society for Industrial and Applied Mathematics., Philadelphia, pp. 183–235. 16. Dorf, R.C. and Bishop, R.H., 2008. Modern Control Systems 11th ed., Pearson Education, Inc., pearson Prentice Hall., New Jersey. 17. Dubey, S. and Srivastava, S.K., 2013. A PID Controlled Real Time Analysis of DC Motor. International Journal of Innovative Research in Computer and Communication Engineering(IJIRCCE), 1(8), pp.1965–1973. 18. Dursun, M. and Fenercioglu, A., 2011. An educational tool for DC motor PID speed controller. Scientific Research and Essays V, 6(20), pp.4227–4237. 19. Dwyer, A.O., 2006. An approach to teaching PID controller tuning. Dublen Institute of Technology, pp.1–7. 20. Dwyer, A.O., 2005. PID control : the early years. Dublin Institute of Technology. 2005 Dublin, pp. 1–10. 21. El-sharif, I., O. Hareb, F. and R. Zerek, A., 2014. Design of discrete-time PID controller. International Conference on Control, Engineering & Information Technology (CEIT’14), pp.110–115. 22. Fadali, M. and Visioli, A., 2013. Digital control engineering: analysis and design 2nd ed., Elsevier Inc., Waltham. 23. Franklin, G.F., Powell, J.D. and Emami-Naeini, A., Digital Control. Feedback Control of Dynamic Systems. 24. Franklin, G.F., Powell, J.D. and Workmam, M.L., 1998. Digital Control Of Dynamic Systems. 3rd ed., Addison Wesley Longman, Inc. 25. Frozee, J., 2015, PID controller Archives - Marine Engineering Study Materials [Online]. 26. Gene F. Franklin, Powell, J.D. and Emami-Naeini, A., 2002. Feedback Control Of Dynamic Systems 4th ed., Prentice-Hall, Inc., New Jersey. 27. Ghosh, S., 2007. Control System Theory and Applications, Dorling Kindersley (India) Pvt. Ltd., Punjab. 28. Herjolfsson, G. and Hauksdottir, A.S., 2004. Direct computation of optimal discrete-time PID controllers. Proceedings of the 2004 American Control Conference. 2004 Boston, pp. 46–51. 29. Ibrahim, O., Amuda, S.A.Y., Mohammed, O.O. and Kareem, G.A., 2015. Performance Evaluation of Three PID Controller Tuning Algorithm on a Process Plant. International Journal of Electrical and Computer Engineering (IJECE), 5(5), pp.1075–1082. 30. Kaedi, S. and Kavian, Y.S., Implementation PID Controller in Time Domain and Z Domain on FPGA. Nationa conference new idea in electrical engineering NCNIEE, Asfahan, Iran, pp. 1241–1246. 31. Kuyvenhoven, N., 2002. PID Tuning Methods An Automatic PID Tuning Study with MathCad. , (December), pp.1–8.., 2012. Tuning of PID Controller using Ziegler-Nichols Method for Speed Control of DC Motor. 2013 IEEE International Conference on Control Applications (CCA), pp.117–122. 32. Levine, W.S., 1996. The Control Handbook, CRC Press LLC., USA. 33. Li, S. and Jiang, Q., 2011. Study On PID Parameters Tuning Method Based On Matlab/ Franklin, G.F., Powell, J.D. and Workmam, M.L., 1998. Digital Control Of Dynamic Systems. 3rd ed., Addison Wesley Longman, Inc. Frozee, J., 2015, PID controller Archives - Marine Engineering Study Materials [Online]. 34. Mohamed, T.L.T. et al., 2013. Development of Auto Tuning PID Controller Using Graphical User Interface ( GUI ). International Journal of Information and Electronics Engineering, 3(4), pp.382–385. 35. Mutambara, A.G.O., 1999. Design And Analysis Of Control Systems, CRC Press LLC, New York. 36. Ogata, K., 2010. Modern Control Engineering 5th ed., Prentice-Hall, Inc., New Jersey. 37. Ogata, K., 2002. Modern control engineering 4th ed., Prentice-Hall, Inc., New Jersey. 38. Oravec, J. and Bakošová, M., 2012. PIDDESIGN – Software for PID Control Education. IFAC Conference on Advances in PID Control. 2012 pp. 1–6. 39. Owen, F., 2012. Designing and tuning PID controllers. In: Control Systems Engineering A Practical Approach. Frank Owen, California, pp. 1–41. 40. Palm, W.J., 2000. Modeling, Analysis, and Control of Dynamic Systems 2nd ed., John Wiley & Sons, Inc., New York. 41. Paulusova, J. and Dubravska, M., Application Of Design Of Pid Controller For Continuous Systems. , (1), pp.2–7. 42. Peng, H., Chiu, G.T.-C. and Tsao, T.-C., 2008. Design of Discrete Time Controller – Input/Output Approaches. In: Digital Control of Physical Systems. pp. 1–18. 43. Perdikaris, G.A., 1991. Computer Controlled systems, Springer Science + Business Media, LLC., New York, U.S.A. 44. Phillips, C.L. and Harbor, R.D., 2000. Feedback Control Systems 4th ed., Prentice-Hall, Inc., New Jersey. 45. Raut, K.H. and Vaishnay, S.R., A Study on Performance of Different PID Tuning Techniques. NJIEEEICE, pp.1–4. 46. Ronald S. Burns, 2001. Advanced Control Engineering, Butterworth-Heinemann, London. 47. Santina, M.S. and Stubberud, A.R., Discrete-Time Equivalent to Constinuous-Time Systems. Control Systems, Robotics, And Automatiion, II, p.11. 48. Shafique, A.B. and Tsakalis, K., 2012. Discrete-Time PID Controller Tuning Using Frequency Loop-Shaping. IFAC Conference on Advances in PID Control, (1991), p.6. 49. Shinners, S.M., 1998. Advanced Modern Control System Theory And Design, John Wiley & Sons, Inc., New York. 50. Smuts, J., 2011, Cohen-Coon Tuning Rules _ Control Notes [Online]. 51. Tehrani, K.A. and Mpanda, A., 2012. PID Control Theory, Introduction to PID Controllers - Theory, Tuning and Application to Frontier Areas. In: Panda, P.R.C., (ed.) InTech. 52. Visioli, a, 2006. Advances in Industrial Control-Practical PID Control, Springer-Verlag London Limited, London. 53. Ziegler, J.G. and Nichols, N.B., 1942. Optimum Settings for Automatic Controllers. Trans. ASME, 64, pp.759–768.