Journal of Korea Technical Association of The Pulp and Paper Industry (펄프종이기술)

Korea Technical Association of the Pulp and Paper Industry (한국펄프종이공학회)
권호 표지

Tuning of a PID Controller Using Soft Computing Methodologies Applied to Basis Weight Control in Paper Machine

  • Received : 2011.05.10
  • Accepted : 2011.09.02
  • Published : 2011.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

Proportional.Integral.Derivative control schemes continue to provide the simplest and effective solutions to most of the control engineering applications today. However PID controller is poorly tuned in practice with most of the tuning done manually which is difficult and time consuming. This research comes up with a soft computing approach involving Genetic Algorithm, Evolutionary Programming, and Particle Swarm Optimization and Ant colony optimization. The proposed algorithm is used to tune the PID parameters and its performance has been compared with the conventional methods like Ziegler Nichols and Lambda method. The results obtained reflect that use of heuristic algorithm based controller improves the performance of process in terms of time domain specifications, set point tracking, and regulatory changes and also provides an optimum stability. This research addresses comparison of tuning of the PID controller using soft computing techniques on Machine Direction of basics weight control in pulp and paper industry. Compared to other conventional PID tuning methods, the result shows that better performance can be achieved with the soft computing based tuning method. The ability of the designed controller, in terms of tracking set point, is also compared and simulation results are shown.

Keywords

References

  1. Ziegler, G. and Nichols, N.B,Optimum settings for automatic controllers, Trans. ASME, 64, 1942.
  2. M.B.B. Sharifian,R.Rahnavard and H.Delavari "Velocity Control of DC Motor Based Intelligent methods and Optimal Integral State FeedbackController" International Journal of Computer theory and engineering, vol.1,No.1,Pp 81-84 (2009).
  3. Neenu Thomas, Dr. P. Poongodi "Position Control of DC Motor Using Genetic Algorithm Based PID Controller" Proceedings of the World Congress on Engineering 2009 Vol II WCE 2009, July 1-3, 2009, London, U.K.
  4. Astrom, K., and Hagglund,T.,"Revisiting the Ziegler-Nichols step response method for PID control," J. Process Control, 14, 2004.
  5. Asim ali khan, Nushkam rapal "Fuzzy pid controller:Design, Tuning and comparison with conventional PID controller" Engineering of Intelligent Systems, 2006 IEEE International Conference. Pp 1-6 (2006)
  6. Wang X. G., Dumont G.A. and Davies M.S. Adaptive Basis Weight Control in Paper Machines. Second IEEE Conference on Control applications, Vancouver, Pp 209-216 (1993).
  7. Jukka Lieslehto "PID controller tuning using Evolutionary programming" American Control Conference, Pp 2828-2833 (2001)
  8. Mehdi Nasri, Hossein Nezamabadipour, and Malihe Maghfoori "A PSO-Based Optimum Design of PID Controller for a Linear Brushless DC Motor" World Academy of Science, Engineering and Technology conference Pp 211-215 (2007).
  9. B.Nagaraj, S.Subha, B.Rampriya "Tuning Algorithms for PID Controller Using Soft Computing Techniques" IJCSNS International Journal of Computer Science and Network Security, VOL.8 No.4, pp 278-281(2008)
  10. Hyung-soo Hwang, Jeong-Nae Choi, Won-Hyok Lee: "A Tuning Algorithm for The PID controller Utilizing Fuzzy Theory", Neural Networks, international Joint Conference IEEE Proceeding Pp:2210‐2215 (1999)
  11. Jan Jantzen: "Tuning of fuzzy PID controllers" Denmark.Tech. Report no 98-H 871(fpid), 30 Sep 1998. PP:1-22.
  12. Kiam Heong Ang, Gregory Chong: "PID Control System Analysis, Design, and Technology" IEEE Transactions On Control Systems Technology, VOL. 13, No.4, pp: 559-576. (2005) https://doi.org/10.1109/TCST.2005.847331
  13. Ibtissem Chiha, Pierre Borne: "Multi-Objective Ant Colony Optimization to tuning PID Controller" proceedings of the International journal of engineering, Volume III, Issue no 2, (2010).
  14. G.Dicaro and M.Dorigo "Ant colonies for adaptive routing in packet switched communications network". In A.E.Eiben, T.Back, M.Schoenauer, and H-P. Schwefel ,editors, proceedings of PPSN-V, 5th international conference on parallel problem solving from nature, volume 1498 of lecture notes in csc, pages 673-682(1998).
  15. G.Zhou and J.D.Birdwell, "Fuzzy logic-based PID autotuner design using simulated annealing", in proceedings of the IEEE/IFAC joint symposium on computer-aided control system design pp.67-72, (1994).
  16. H.Ying-Tung, C.Cheng-Long and C.Cheng-Chih, "Ant colony optimization for designing of PID controllers", IEEE International Symposium on computer aided control systems design Pp 321-326 24,(2004).
  17. Kjaer A.P., Wellsted P.E. and Heath W.P. On-Line Sensing of Paper Machine Wet-End Properties: Dry-Line Detector. IEEE Transactions on Control Systems Technology, Pp 571-585 (1997).
  18. Nelendran Pillay, "A Particle Swarm Optimization", Master Thesis-Dept. of ELECTRONICS Engineering at DURBAN Univ. of Tech. 2009.
  19. Elene Grassi and Kostar Taskatis, "PID controller tuning by frequency loop-shaping: Application to diffusion furnace temp. control", IEEE transaction on Control System Tech., Vol VIII, No. 5,Pp 842-847 (2000).
  20. Alireza Karimi, Daniel Gracia and Ronald Longchamp, "PID Controller Tuning using Bode's Integrals", IEEE transactions on Control system tech., Vol XI, No.6, Pp 812-821 (2003).
  21. Tae-Hyoung Kim, Ichiro Maruta and Toshiharu Sugia, "Particle Swarm Optimization based Robust PID Controller tuning", IEEE Conference on decision and control, Pp 200-205 (2007).
  22. Pillay.N and Govender P., "A particle Swarm Optimization Approach for model independent tuning of PID control loop", IEEE African Pp 1-7(2007)
  23. K.Ramkumar, Sanjay Sharma.O.V, "Real Time Approach of Ant Colony Optimization", International journal of computer application, vol 3, No 8, Pp 34-46 (2010). https://doi.org/10.5120/753-1054
  24. Ola Slatteke., Modeling and Control of the Paper Machine Drying Section, Licentiate thesis, Department of Automatic Control Lund University Lund, (2006)
  25. B.Nagaraj, N.Murugananth "Comparative Study of PID controller Tuning Using GA, EP, PSO and ACO" IEEE International Conference on Communication Control and Computing Technologies, pp 305-313 (2010)