A New Approach for Calculation of PID Parameters with Model Based Compact Form Formulations

Authors

  • A. Ozdemir Sakarya University
  • Z. Erdem Sakarya University

DOI:

https://doi.org/10.5755/j01.eee.20.3.4415

Keywords:

Compact formulation, controller design, PID parameter, tuning

Abstract

PID controller is a popular control method still widely used in process industry. In literature there are model/non-model based calculation methods for PID parameters. However, a model based analytic formulation in compact form in discrete time has not been come across yet. This study presents a new approach for calculation of PID parameters with model based analytic formulation (MBCF), which is presented uniquely in this paper, in compact form, in discrete time. Furthermore, a procedure for implementation of the proposed formulas is given in four stages. The formulations in related literature for PID parameter calculation are all derived for continuous time. Therefore, extra transformations are required for a discrete time design. The proposed MBCF formulation method reduces extra calculation burden and simplifies calculation complexity. Moreover, this method provides a direct calculation method for digital PID controller design in discrete time. The derived expressions in this study also provide a fast, easy-implemented, and practical PID parameter calculation method for all field researchers and application engineers. The validation of proposed MBCF formulations are comparatively proved with the simulations and the real time application results.

DOI: http://dx.doi.org/10.5755/j01.eee.20.3.4415

Author Biographies

A. Ozdemir, Sakarya University

Department of Electrical and Electronics Engineering

(Prof. Dr.)

Z. Erdem, Sakarya University

Department of Electrical and Electronics Engineering

(M.Sc.)

Downloads

Published

2014-03-04

How to Cite

Ozdemir, A., & Erdem, Z. (2014). A New Approach for Calculation of PID Parameters with Model Based Compact Form Formulations. Elektronika Ir Elektrotechnika, 20(3), 3-10. https://doi.org/10.5755/j01.eee.20.3.4415

Issue

Section

AUTOMATION, ROBOTICS