A Hybrid Fuzzy Logic – PLC-Based Controller for Earthquake Simulator System

Renann G. Baldovino; Elmer P. Dadios

doi:10.20965/jaciii.2016.p0100

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JACIII Vol.20 No.1 pp. 100-105

doi: 10.20965/jaciii.2016.p0100

(2016)

Paper:

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A Hybrid Fuzzy Logic – PLC-Based Controller for Earthquake Simulator System

Renann G. Baldovino and Elmer P. Dadios

De La Salle University
2401 Taft Avenue, 0922 Manila, Philippines

Received:

May 24, 2015

Accepted:

August 1, 2015

Online released:

January 19, 2016

Published:

January 20, 2016

Keywords:

earthquake simulator, fuzzy logic, programmable logic control, motor control, shake table

Abstract

This paper presents an intelligent motor speed controller for an earthquake simulator using fuzzy logic algorithm developed inside a programmable logic controller environment. The desired motor speed is obtained using two fuzzy inputs namely, the process error and the rate of process error. These fuzzy inputs are feedback data from the motor drive. Different earthquake intensities were used to test the controller’s performance in real time undergoing different load variations. Experiment results showed that the developed controller is accurate, reliable and robust.

Cite this article as:

R. Baldovino and E. Dadios, “A Hybrid Fuzzy Logic – PLC-Based Controller for Earthquake Simulator System,” J. Adv. Comput. Intell. Intell. Inform., Vol.20 No.1, pp. 100-105, 2016.

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References

[1] D. A. Kusner, J. D. Rood, and G. W. Burton, “Signal reproduction fidelity of servo-hydraulic testing equipment,” Proc. of the 10^th World Conf. on Earthquake Engineering (WCEE), Rotterdam, The Netherlands, pp. 2683-2688, 1992.
[2] The BOSS Model: Building Oscillation Seismic Simulation Official Website, http://www.iris.edu. [Accessed September 21, 2015]
[3] K. Ohtani, N. Ogawa, T. Katayama, and H. Shibata, “Construction of E-Defense,” 13^th World Congress on Earthquake Eng., Paper No.189, 2004.
[4] UC Berkeley Shaking Table. Retrieved from Pacific Earthquake Engineering Research (PEER) Center: http://peer.berkeley.edu. [Accessed September 21, 2015]
[5] S. J. Dyke, B. Nepote, and J. M. Caicedo, “Earthquake simulator control by the transfer function iteration method,” 2^nd European Conf. on Structural Control, July 2000.
[6] R. Reitherman, “Earthquakes and engineers: an international history,” ASCE, pp. 126-127.
[7] R. G. Baldovino and E. P. Dadios, “Design and development of a fuzzy-PLC for an earthquake simulator / shake table,” 7^th IEEE Int. Conf. on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), November 2014.
[8] B. S. Twitchell and M. D. Symans, “Analytical modeling, system identification and tracking performance of uniaxial seismic simulators,” J. of Eng. Mechanics, ASCE, Vol.129, No.12, pp. 1485-1488, 2003.
[9] J. P. Conte and T. L. Trombetti, “Linear dynamic modeling of a uniaxial servo-hydraulic shaking table system,” Earthquake Engineering Structure Dynamics, Vol.29, pp. 1375-1404, 2000.
[10] Seismicapprovals.com, “Types of tables,” 2015. [Online]. Available: http://tobolskiwatkins.com [Accessed September 21, 2015].
[11] R. Macedonia, “DYNLAB-seismic shaking table,” Retrieved from IZIIS, Skopje: http://www.iziis.edu.mk. [Accessed September 21, 2015]
[12] F. Owen, “Introduction to control systems,” Control Systems Engineering: A Practical Approach, 2012.
[13] J. Kuehn, D. Epp, and W. D. Patten, “High-fidelity control of a seismic shake table,” Earthquake Engineering and Structural Dynamics, Vol.28, No.11, pp. 1235-1254, November 1999.
[14] Y. Sawada and N. Ohgawara, “High-fidelity tracking control of electric shaking tables,” Proc. of the 17^th IFAC World Congress, Vol.17, No.1, pp. 2318-2323, July 2008.
[15] S. J. Campbell, “Solid-state ac motor control,” New York: Marcel Dekker, Inc., pp. 79-189, 1987.
[16] E. H. Mamdani, “Application of fuzzy algorithms for the control of a dynamic plant,” IEE Proc., Vol.121, No.12, pp. 1585-1588, 1974.
[17] R. Langari, “Past, present and future of fuzzy control: a case for application of fuzzy logic in hierarchical control,” 18^th Int. Conf. of the North American Source, pp. 760-765, July 1999.
[18] PHIVOLCS Earthquake Intensity Scale (PEIS) Official Website, http://www.phivolcs.dost.gov.ph. [Accessed September 21, 2015]

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1] D. A. Kusner, J. D. Rood, and G. W. Burton, “Signal reproduction fidelity of servo-hydraulic testing equipment,” Proc. of the 10^th World Conf. on Earthquake Engineering (WCEE), Rotterdam, The Netherlands, pp. 2683-2688, 1992.

[2] [2] The BOSS Model: Building Oscillation Seismic Simulation Official Website, http://www.iris.edu. [Accessed September 21, 2015]

[3] [3] K. Ohtani, N. Ogawa, T. Katayama, and H. Shibata, “Construction of E-Defense,” 13^th World Congress on Earthquake Eng., Paper No.189, 2004.

[4] [4] UC Berkeley Shaking Table. Retrieved from Pacific Earthquake Engineering Research (PEER) Center: http://peer.berkeley.edu. [Accessed September 21, 2015]

[5] [5] S. J. Dyke, B. Nepote, and J. M. Caicedo, “Earthquake simulator control by the transfer function iteration method,” 2^nd European Conf. on Structural Control, July 2000.

[6] [6] R. Reitherman, “Earthquakes and engineers: an international history,” ASCE, pp. 126-127.

[7] [7] R. G. Baldovino and E. P. Dadios, “Design and development of a fuzzy-PLC for an earthquake simulator / shake table,” 7^th IEEE Int. Conf. on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), November 2014.

[8] [8] B. S. Twitchell and M. D. Symans, “Analytical modeling, system identification and tracking performance of uniaxial seismic simulators,” J. of Eng. Mechanics, ASCE, Vol.129, No.12, pp. 1485-1488, 2003.

[9] [9] J. P. Conte and T. L. Trombetti, “Linear dynamic modeling of a uniaxial servo-hydraulic shaking table system,” Earthquake Engineering Structure Dynamics, Vol.29, pp. 1375-1404, 2000.

[10] [10] Seismicapprovals.com, “Types of tables,” 2015. [Online]. Available: http://tobolskiwatkins.com [Accessed September 21, 2015].

[11] [11] R. Macedonia, “DYNLAB-seismic shaking table,” Retrieved from IZIIS, Skopje: http://www.iziis.edu.mk. [Accessed September 21, 2015]

[12] [12] F. Owen, “Introduction to control systems,” Control Systems Engineering: A Practical Approach, 2012.

[13] [13] J. Kuehn, D. Epp, and W. D. Patten, “High-fidelity control of a seismic shake table,” Earthquake Engineering and Structural Dynamics, Vol.28, No.11, pp. 1235-1254, November 1999.

[14] [14] Y. Sawada and N. Ohgawara, “High-fidelity tracking control of electric shaking tables,” Proc. of the 17^th IFAC World Congress, Vol.17, No.1, pp. 2318-2323, July 2008.

[15] [15] S. J. Campbell, “Solid-state ac motor control,” New York: Marcel Dekker, Inc., pp. 79-189, 1987.

[16] [16] E. H. Mamdani, “Application of fuzzy algorithms for the control of a dynamic plant,” IEE Proc., Vol.121, No.12, pp. 1585-1588, 1974.

[17] [17] R. Langari, “Past, present and future of fuzzy control: a case for application of fuzzy logic in hierarchical control,” 18^th Int. Conf. of the North American Source, pp. 760-765, July 1999.

[18] [18] PHIVOLCS Earthquake Intensity Scale (PEIS) Official Website, http://www.phivolcs.dost.gov.ph. [Accessed September 21, 2015]