Skip to main navigation Skip to search Skip to main content

A metamorphic controller for plant control system design

  • Western Norway University of Applied Sciences

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

One of the major problems in the design of industrial control systems is the selection and parameterization of the control algorithm. In practice, the most common solution is the PI (proportional-integral) controller, which is simple to implement, but is not always the best control strategy. The use of more advanced controllers may result in a better efficiency of the control system. However, the implementation of advanced control algorithms is more time-consuming and requires specialized knowledge from control engineers. To overcome these problems and to support control engineers at the controller design stage, the paper describes a tool, i.e., a metamorphic controller with extended functionality, for selection and implementation of the most suitable control algorithm. In comparison to existing solutions, the main advantage of the metamorphic controller is its possibility of changing the control algorithm. In turn, the candidate algorithms can be tested through simulations and the total time needed to perform all simulations can be less than a few minutes, which is less than or comparable to the design time in the concurrent design approach. Moreover, the use of well-known tuning procedures, makes the system easy to understand and operate even by inexperienced control engineers. The application was implemented in the real industrial programmable logic controller (PLC) and tested with linear and nonlinear virtual plants. The obtained simulation results confirm that the change of the control algorithm allows the control objectives to be achieved at lower costs and in less time.

Original languageEnglish
Pages (from-to)159-169
Number of pages11
JournalModeling, Identification and Control
Volume37
Issue number3
DOIs
Publication statusPublished - 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Control system design
  • Model-based design
  • Parallel design
  • Programmable logic controller
  • Simulation

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Modeling and Simulation
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'A metamorphic controller for plant control system design'. Together they form a unique fingerprint.

Cite this