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

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.

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