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Tuning Generalized Predictive PI controllers for process control applications.

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Summary
This summary is machine-generated.

A new Generalized Predictive PI (GPPI) controller offers enhanced flexibility and performance over traditional PI and Predictive PI (PPI) controllers for systems with long delays. GPPI controllers significantly reduce settling time and overshoot in industrial applications.

Keywords:
Controller tuningDiscrete time systemPID controllerPLCPPI controllerTime delay

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Area of Science:

  • Control Engineering
  • Industrial Automation
  • Process Control

Background:

  • Predictive PI (PPI) controllers outperform traditional PID controllers in systems with long time delays.
  • Existing PI and PPI strategies lack design flexibility for complex control applications.

Purpose of the Study:

  • Propose a novel Generalized Predictive PI (GPPI) controller structure and tuning method.
  • Enhance design flexibility beyond current PI and PPI control strategies.
  • Fairly compare GPPI controller performance against PI and PPI controllers.

Main Methods:

  • Developed discrete PI and PPI controller design and tuning rules using root-locus analysis for critically damped responses.
  • Applied First Order Plus Time Delay (FOPTD) models to laboratory flume flow and water level processes.
  • Implemented and tested the GPPI controller using a Rockwell ControlLogix PLC with Structured Text programming.

Main Results:

  • GPPI controller reduced settling time by up to 41.03% for flow control and 54.21% for level control.
  • GPPI demonstrated significantly reduced overshoot compared to PI and PPI strategies.
  • Discrete Z-plane analysis enabled direct translation to programmable logic controller (PLC) equations.

Conclusions:

  • The proposed GPPI controller offers superior performance and greater design flexibility.
  • GPPI controllers are suitable for implementation in industrial systems like PLCs, DCS, and microcontrollers.
  • The GPPI controller's increased complexity does not hinder its practical industrial application.