Parametric and Nonparametric PID Controller Tuning Method for Integrating Processes Based on Magnitude Optimum

Integrating systems are frequently encountered in power plants, paper-production plants, storage tanks, distillation columns, chemical reactors, and the oil industry. Due to the open-loop instability that leads to an unbounded output from a bounded input, the efficient control of integrating systems...

Full description

Saved in:
Bibliographic Details
Published in:Applied sciences 2020-09, Vol.10 (17), p.6012
Main Authors: Kos, Tomaž, Huba, Mikuláš, Vrančić, Damir
Format: Article
Language:English
Subjects:
Chemical reactors
Control algorithms
Control methods
controller tuning
Controllers
Degrees of freedom
Distillation
Identification
Industrial plants
integrating processes
magnitude optimum
Methods
Nonparametric statistics
Oil and gas industry
PID control
Power plants
reference filter
set-point weighting
Storage tanks
Transfer functions
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Integrating systems are frequently encountered in power plants, paper-production plants, storage tanks, distillation columns, chemical reactors, and the oil industry. Due to the open-loop instability that leads to an unbounded output from a bounded input, the efficient control of integrating systems remains a challenging task. Many researchers have addressed the control of integrating processes: Some solutions are based on a single closed-loop controller, while others employ more complex control structures. However, it is difficult to find one solution requiring only a simple tuning procedure for the process. This is the advantage of the magnitude optimum multiple integration (MOMI) tuning method. In this paper, we propose an extension of the MOMI tuning method for integrating processes, controlled with a two-degrees-of-freedom (2-DOF) proportional–integral–derivative (PID) controller. This extension allows for calculations of the controller parameters from either time domain measurements or from a process transfer function of an arbitrary order with a time-delay, when both approaches are exactly equivalent. The user has the option to emphasise disturbance-rejection or tracking with the reference weighting factor b or apply two different reference filters for the best overall response. The proposed extension was also compared to other tuning methods for the control of integrating processes and tested on a charge-amplifier drift-compensation system. All closed-loop responses were relatively fast and stable, all in accordance with the magnitude optimum criteria.
ISSN:2076-3417
2076-3417
DOI:10.3390/app10176012