The Design of PIP Controller for a Thermal System with Large Time Delay
This paper will first describe predictor controllers
when the proportional-integral-derivative (PID) controllers are
inactive for procedures that have large delay time (LDT) in transfer
stage. Therefore in those states, the predictor controllers are better
than the PID controllers, then compares three types of predictor
controllers. The value of these controller-s parameters are obtained
by trial and error method, so here an effort has been made to obtain
these parameters by Ziegler-Nichols method. Eventually in this paper
Ziegler-Nichols method has been described and finally, a PIP
controller has been designed for a thermal system, which circulates
hot air to keep the temperature of a chamber constant.
[1] K. H. Ogata, Modern Control Engineering, 4th ed. Prentice-Hall, Inc,
2002, ISBN: 0-13-043245-8. Part 6, pp. 379-380.
[2] K. J. Astrom, and B. Wittenmark, Adaptive Control, copyright by
Addison-Wesley Publishing Company, 1989, pp. 330-331.
[3] T. Hagglund, A Predictive PI controller for Processes with Long Dead
Times, IEEE Contr. Syst. Mag, 1992, Vol 12, n. 1, pp. 57-60.
[4] J. G. Ziegler and N. B. Nichols, Optimum Setting for Automatic
Controllers, ASME Transaction, 1942,Vol 64, pp. 759-768.
[5] P. C. Young, M . Lees, W. Tych and Z. S. Chalabi, Modeling and PIP
control of a glasshouse Micro-Climate. Control Engineering Practice,
1994, Part 2, pp. 591-604.
[6] M. Morari, and E. Zafiriou, Robust Process Control, Englewood Cliffs,
NJ, Prentice-Hall, 1989, pp.445-465.
[7] D. E. Rivera, M. Morari and S. Skogestad, Internal Model Control, Part
4. PID controller Design, Ind. Eng. Chem. Process Des. Dev., 1986, pp.
252-265.
[8] T. Hagglund, A Dead Time Compensating Three-Term controller, 9th
IFAC/IFORS Symposium on Identification and System Parameter
Estimation, Budapest, Hungary, 1991, pp. 1167-1172.
[9] J. Shaw, Analysis of Traditional PID Tuning Methods, Presented at
Instrument Society of America Conference, Chicago, IL, 1993, pp.201-
205.
[10] A. B. Corripio, Tuning of Industrial Control Systems, Instrument Society
of America, 1990.
[11] J. A. Miller, A. M. Lopez, C.L. Smith, P. W. Murrill, A Comparison of
Controller Tuning Techniques, Control Engineering, Dec. 1967, pp. 72-
75.
[12] H. Wade, Course notes for Principles of Applied Automatic Control (an
ISA short course), Instrument Society of America, 1992.
[13] A. Datta and J. Ochoa, Adaptive Internal model Control: Design and
Stability Analysis, automatic, 1996, Vol. 32, No. 2, pp. 261-266.
[1] K. H. Ogata, Modern Control Engineering, 4th ed. Prentice-Hall, Inc,
2002, ISBN: 0-13-043245-8. Part 6, pp. 379-380.
[2] K. J. Astrom, and B. Wittenmark, Adaptive Control, copyright by
Addison-Wesley Publishing Company, 1989, pp. 330-331.
[3] T. Hagglund, A Predictive PI controller for Processes with Long Dead
Times, IEEE Contr. Syst. Mag, 1992, Vol 12, n. 1, pp. 57-60.
[4] J. G. Ziegler and N. B. Nichols, Optimum Setting for Automatic
Controllers, ASME Transaction, 1942,Vol 64, pp. 759-768.
[5] P. C. Young, M . Lees, W. Tych and Z. S. Chalabi, Modeling and PIP
control of a glasshouse Micro-Climate. Control Engineering Practice,
1994, Part 2, pp. 591-604.
[6] M. Morari, and E. Zafiriou, Robust Process Control, Englewood Cliffs,
NJ, Prentice-Hall, 1989, pp.445-465.
[7] D. E. Rivera, M. Morari and S. Skogestad, Internal Model Control, Part
4. PID controller Design, Ind. Eng. Chem. Process Des. Dev., 1986, pp.
252-265.
[8] T. Hagglund, A Dead Time Compensating Three-Term controller, 9th
IFAC/IFORS Symposium on Identification and System Parameter
Estimation, Budapest, Hungary, 1991, pp. 1167-1172.
[9] J. Shaw, Analysis of Traditional PID Tuning Methods, Presented at
Instrument Society of America Conference, Chicago, IL, 1993, pp.201-
205.
[10] A. B. Corripio, Tuning of Industrial Control Systems, Instrument Society
of America, 1990.
[11] J. A. Miller, A. M. Lopez, C.L. Smith, P. W. Murrill, A Comparison of
Controller Tuning Techniques, Control Engineering, Dec. 1967, pp. 72-
75.
[12] H. Wade, Course notes for Principles of Applied Automatic Control (an
ISA short course), Instrument Society of America, 1992.
[13] A. Datta and J. Ochoa, Adaptive Internal model Control: Design and
Stability Analysis, automatic, 1996, Vol. 32, No. 2, pp. 261-266.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:57810", author = "Seiyed Hamid Zareh and Atabak Sarrafan and Kambiz Ghaemi Osgouie", title = "The Design of PIP Controller for a Thermal System with Large Time Delay", abstract = "This paper will first describe predictor controllers
when the proportional-integral-derivative (PID) controllers are
inactive for procedures that have large delay time (LDT) in transfer
stage. Therefore in those states, the predictor controllers are better
than the PID controllers, then compares three types of predictor
controllers. The value of these controller-s parameters are obtained
by trial and error method, so here an effort has been made to obtain
these parameters by Ziegler-Nichols method. Eventually in this paper
Ziegler-Nichols method has been described and finally, a PIP
controller has been designed for a thermal system, which circulates
hot air to keep the temperature of a chamber constant.", keywords = "Proportional-integral-predictive controller, Transferfunction, Delay time, Transport-lag.", volume = "3", number = "8", pages = "906-5", }