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Dual mode adaptive fractional order PI controller with feedforward controller based on variable parameter model for

Prasanta Roy¹, Binoy Krishna Roy¹

¹Department of Electrical Engineering, NIT Silchar, Assam, India.

ISA Transactions

|April 2, 2016

Summary

This summary is machine-generated.

This study introduces a novel adaptive fractional order PI controller and feedforward controller for the Quadruple Tank Process (QTP). These advanced controllers demonstrate superior performance in tracking reference signals for this complex nonlinear system.

Keywords:

Dual Mode self tuning adaptive Fractional order proportional integral Quadruple Tank Process Variable Parameter Transfer Function

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Area of Science:

Control Engineering
Process Automation
Nonlinear Systems

Background:

The Quadruple Tank Process (QTP) is a benchmark for complex nonlinear MIMO systems.
QTP exhibits both minimum and nonminimum phase characteristics, posing control challenges.

Purpose of the Study:

To develop and evaluate a novel self-tuning Dual Mode Adaptive Fractional Order PI controller for the QTP.
To introduce an Adaptive Feedforward controller designed using a Variable Parameter Transfer Function model.

Main Methods:

A novel Variable Parameter Transfer Function model was developed for the QTP.
A self-tuning Dual Mode Adaptive Fractional Order PI controller was designed.
An Adaptive Feedforward controller was integrated with the proposed PI controller.

Main Results:

The proposed controllers successfully tracked reference signals across all output ranges.
Numerical simulations and experimental validation confirmed controller effectiveness.
The control scheme demonstrated advantages and superior performance compared to existing methods.

Conclusions:

The novel adaptive fractional order PI and feedforward controllers offer effective control for the Quadruple Tank Process.
The Variable Parameter Transfer Function model provides a robust basis for controller design.
The proposed control strategy presents a promising advancement in nonlinear system control.