Improved Control for Fractional-Order and Non-minimum Phase Integrating Plants Using a Fractional IMC and SP Structure

Anjana Ranjan; Utkal Mehta; Sheikh Izzal Azid

doi:10.1007/978-981-96-5373-7_42

Back

Book chapter

Improved Control for Fractional-Order and Non-minimum Phase Integrating Plants Using a Fractional IMC and SP Structure

Anjana Ranjan, Utkal Mehta and Sheikh Izzal Azid

Proceedings of the First International Conference on Advanced Robotics, Control, and Artificial Intelligence, pp.506-518

Lecture Notes in Networks and Systems, 1376, Springer Nature Singapore

2025

DOI: https://doi.org/10.1007/978-981-96-5373-7_42

Abstract

Disturbance

Fractional control

IMC

Integrating-type models

Smith predictor

This research improves the output of the integrating processes. The technique regulates a double-integrating process with time delay and non-minimal phase while handling high parametric uncertainties and load disturbances. A Smith predictor (SP) architecture based on a fractional-order internal model controller is developed (FOSPIMC). The gain and phase margins are applied to tune the fractional-order parameter. The fractional filter time constant is calculated using the intended performance limitation. Numerical studies and comparisons reveal better performance with a hybrid structure.

Details

Title: Improved Control for Fractional-Order and Non-minimum Phase Integrating Plants Using a Fractional IMC and SP Structure
Authors/Creators: Anjana Ranjan
Utkal Mehta - University of the South Pacific
Sheikh Izzal Azid - Murdoch University, School of Engineering and Energy
Publication Details: Proceedings of the First International Conference on Advanced Robotics, Control, and Artificial Intelligence, pp.506-518
Series: Lecture Notes in Networks and Systems; 1376
Publisher: Springer Nature Singapore; Singapore
Identifiers: 991005788076807891
Murdoch Affiliation: School of Engineering and Energy
Language: English
Resource Type: Book chapter

Metrics

16 Record Views