Performance Evaluation of Nonlinear PI Controller on the Laboratory Type Spherical Tank Process

Authors

  • T. Bhuvanendhiran Research Scholar, Department of Electronics and Instrumentation Engineering, Annamalai University, Annamalai Nagar, Tamil Nadu, India
  • S. Abraham Lincon Professor, Department of Electronics and Instrumentation Engineering, Annamalai University, Annamalai Nagar, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ajes-2019.8.2.2364

Keywords:

Nonlinear PI,, Direct Synthesis IMC PI, Nonlinear Process, SIMC, System Identification

Abstract

In this paper, the implementation of Nonlinear PI controller based on error square type is designed and adopted to control of level in a spherical tank process. By use of black box model the system is found as a First order plus Dead Time model (FOPDT). Then the controller tuning strategies has been adopted namely Direct synthesis (IMC), Skogestad (IMC PI), and Nonlinear PI (error square type) tuning. Among all the three controllers tuning the error square type based Nonlinear PI tuning method shows better control performance than the other two controller tuning in terms of performance indices like Integral Square Error (ISE), Integral Absolute Error (IAE) and Time domain specifications

References

K. J. Astrom and T. Hagglund, "Advanced PID Control," ISA-The Instrumentation Systems and Automation Society, 2006.

B. Armstrong, D. Neevel, and T. Kusik, "New Results in NPID control: tracking, Integral Control, friction compensation and experimental results," IEEE Trans. Control Syst. Technol., vol. 9, no. 2, pp. 399-406, 2001.

B. Armstrong and B. A. Wade, "Nonlinear PID control with partial state knowledge: damping without derivatives," Int. J. Robotics Research, vol. 19, no. 8, pp. 715-731, 2000.

W. H. Chen, D. J. Balance, P. J. Gawthrop, J. J. Gribble, and J. O. Reilly, "Nonlinear PID predictive controller," IEE Proc. Control Theory Appl., vol. 146, no. 6, pp. 603-611, 1999.

J. Q. Han, "Nonlinear PID controller," Acta Automatica Sinica, vol. 20, no. 4, pp. 487-490, 1994.

W. Wang, J. T. Zhang, and T. Y. Chai, "A survey of advanced PID parameter tuning methods," Acta Automatica Sinica, vol. 26, no. 3, pp. 347-355, 2000.

M. Ge, M. S. Chiu, and Q. G. Wang, "Robust PID controller design via LMI approach," J. Process Contr., vol. 1, no. 12, pp. 3-13, 2002.

A. Visioli, "A new design plus for a feedforward controller," J. Process. Contr., vol. 14, pp. 457-463, 2004.

K. Astrom and T. Hagglund, "Revisiting the Ziegler-Nichols step Response method for PID control," J. Process Control., vol. 14, pp. 635-650, 2004.

R. Toscano, "A simple PI/PID controller design method via numerical optimization approach," J. Process Control., vol. 15, pp. 81-88, 2005.

S. Nithya, N. Sivakumaran, T. Balasubramanian, and N. Anantharaman, "IMC Based Controller design for a spherical tank process in real time," in National conference in Advanced Techniques in Instrumentation Control and Communication Engineering, 2008, pp. 173-178.

Ben Joe Raj and P. Subha Hency Jose, "Fuzzy Logic Based PID Controller for a Non Linear Spherical Tank System," IJERT, vol. 3, no. 2, pp. 1867-1870, 2014.

S. Ramesh and S. Abraham Lincon, "Fuzzy Model Based Learning Control for Spherical Tank Process," Int. J. Engineering Research and Applications, vol. 3, no. 6, pp. 619-623, 2013.

T. Bhuvanendhiran, S. Abraham Lincon, I. Thirunavukkarrasu, and Sarath Yadav, "Nonlinear Control Design for a Nonlinear Process-an Experimental Approach," J. Advanced Research in Dynamical and Control Systems, vol. 10, no. 7, pp. 1557-1562, 2018.

A. Ganesh Ram and S. Abraham Lincon, "Real Time Implementation of Fuzzy Based Adaptive PI Controller for a Spherical Tank System," IJSSST, vol. 14, no. 6, pp. 1-8, 2013.

Downloads

Published

16-04-2019

How to Cite

Bhuvanendhiran, T., & Lincon, S. A. . (2019). Performance Evaluation of Nonlinear PI Controller on the Laboratory Type Spherical Tank Process. Asian Journal of Electrical Sciences, 8(2), 16–20. https://doi.org/10.51983/ajes-2019.8.2.2364