Abstract

Dead time processes are present in various industries at different levels. In certain situations, it is difficult to control such processes using conventional tuning techniques. Due to the need of precise control, robust tuning techniques are under development. This paper presents the design and comparative analysis of various PID tuning techniques for dead time process. The tuning techniques used to design PI and PID controller are Zeigler – Nichols, Tyreus – Luyben, Internal Model Control (IMC) and Extended Forced Oscillation (EFO) technique. The comparison is done on the basis of time response, frequency response (gain margin and phase margin) and performance indices (ISE, IAE, ITSE, ITAE).

Highlights

  • The most common dead time processes that are encountered in industries are First Order Dead Time Processes (FOPDT)

  • Naithani et al (2017) present a comparative analysis of various controller tuning techniques for a FOPDT process based on integral error criterion

  • There are a number of PI and PID tuning techniques available for dead time processes for optimal time and frequency responses

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Summary

Introduction

Most of the industrial processes exhibit dead time. Even the economical and biological systems exhibit dead time. Performance analysis of controllers for dead time processes has been done by researchers on the basis of various aspects. Chauhaan et al (2014) presented a comparative analysis of various tuning techniques for the FOPDT process. There are numerous techniques proposed by various researchers in the last few decades for dead time processes. Such as in Vilanova and Balaguer (2006) an ISA-PID based tuning of PID controller has been proposed, O'Dwyer (2006) presented a survey of various PI and PID tuning techniques for dead time systems. In this paper, a comparison of four major PI and PID tuning techniques have been presented for a FOPDT process. The controllers have been designed for both models using tuning techniques as discussed below

Zeigler Nichols Technique (Ziegler et al, 1942)
Tyreus - Luyben Technique (Tyreus and
Internal Model Control
Extended Forced Oscillation Technique (Bazanella et al, 2017)
Result
Conclusion
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