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Research Article

Tradeoff Techniques for Stabilization of Network-Controlled DC Motor Speed Control System with Uncertainties

Received 20 Jul 2023, Accepted 21 Oct 2023, Published online: 20 Nov 2023
 

Abstract

This paper details the development of a tradeoff techniques using the conventional time-domain method for stability assurance of network-controlled DC motor speed control system with uncertainties. The DC motor controlled using an open communication network introduces time-delays in the control loop. These time-delays are one of the factors that decides the stability and performance of the dynamical systems. Stabilization of network-controlled DC motor is achieved by tuning the network controller with concern to time-delay. The maximum extend of time-delay called delay margin is computed by developing stability criterion using Lyapunov–Krasvoskii functional and linear matrix inequality techniques. The impact of load disturbances on stability delay margins are investigated and further determining the relationship between delay margin and controller gains for network-controlled DC motor gives a tradeoff between stability and dynamic performance. Finally, proposed results for network-controlled DC motors are validated through Matlab simulation and experimental setup.

ACKNOWLEDGEMENTS

The author wish to thank the Editor and the Reviewers for their constructive comments and suggestions. It is my pleasure to express sincere thanks to Prof. K. Ramakrishnan, Department of EEE, Puducherry Technological University and Dr Priyanka Kokil, Department of ECE, IIITDM Kancheepuram.

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Manikandan Subramanian

Manikandan Subramanian did his bachelor’s degree in Electrical and Electronics Engineering from University College of Engineering, Panruti, Tamilnadu, India in 2014. He was awarded University Gold Medal and University Rank in the year 2014 for academic excellence in Department of Electrical and Electronics Engineering by Anna University. He then completed the M.Tech degree in Electrical Drives and Control from Pondicherry Engineering College, Puducherry, India through TEQIP fellowship in 2016. He was awarded with Doctorate degree from IIITDM Kancheepuram in 2022. His area of interest are time-delay system, control system application to electrical drives and power system.

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