Title: A new reference model-based fixed-structure controller for industrial applications

Authors: Muhammad Zakwan; Muhammad Hamza Hashmi; Mukhtar Ali; Shakil Ahmed

Addresses: Center for Excellence in Sciences and Applied Technology (CESAT), Plot 94, Sector H-11/4, Islamabad, Pakistan ' Center for Excellence in Sciences and Applied Technology (CESAT), Plot 94, Sector H-11/4, Islamabad, Pakistan ' Center for Excellence in Sciences and Applied Technology (CESAT), Plot 94, Sector H-11/4, Islamabad, Pakistan ' Center for Excellence in Sciences and Applied Technology (CESAT), Plot 94, Sector H-11/4, Islamabad, Pakistan

Abstract: This paper introduces a new approach to design a fixed-structure controller for those industrial applications, where mathematical model of the plant is not known. The design methodology is composed of two steps. First, black-box system identification is used to obtain a mathematical model of plant and second, a fixed-structure controller is designed based on reference model defined by closed-loop performance. For controller identification, prediction error method (PEM) is considered, which uses the off-line generated input-output inherently noise free data using the reference model. Due to fixed design structure, the controller is independent of plant's order. The proposed approach is tested on a lab-based real-time magnetic levitation system (MLS). The results show effectiveness of the proposed approach with good reference tracking and robustness properties. The proposed approach emerged a lower order controller which is computationally efficient and easy to implement. Compare to other data-driven techniques, inverse mapping of the reference model is not required and the performance versus design/tuning time comparison with conventional proportional integral derivative (PID) controller is also improved.

Keywords: system identification; reference model; fixed-structure controller; magnetic levitation system; MLS.

DOI: 10.1504/IJAL.2021.112754

International Journal of Automation and Logistics, 2021 Vol.3 No.2, pp.89 - 103

Received: 18 Mar 2017
Accepted: 21 Sep 2017

Published online: 14 Jan 2021 *

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