University of Lincoln
Browse

Nonlinear control of magnetically-geared drive-trains

journal contribution
posted on 2023-10-18, 07:53 authored by Ryan Montague, Chris BinghamChris Bingham

The paper considers certain impedimental issues related to the use of magnetic gearbox and magnetic coupling technologies in high performance servo control systems. A prototype magnetic coupling is used as a basis for demonstrating that the underlying torque transfer characteristic is significantly nonlinear when transmitted torque approaches the maximum designed pull-out torque of the device. It is shown that linear controllers for speed control proportional plus integral (PI) and position control proportional plus derivative (PD) result in acceptable performance provided the magnetic coupling operates below 80% of designed pull-out torque. To fully compensate for the inherent nonlinearity of the torque transfer characteristic, feedback linearizing control laws and state transformations are derived resulting in exactly linear input-output characteristic for position and speed control of magnetically-geared drive-trains. With the addition of state feedback, the closed-loop dynamics for both position and speed control of a magneticallygeared drive-train can be designed to satisfy the integral of time multiplied by absolute error (ITAE) optimized linear response for a step input. Outstanding results are demonstrated through simulation and experimental real-time implementation on a demonstrator magnetically-geared drive-train. © 2013 Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg.

History

School affiliated with

  • School of Engineering (Research Outputs)

Publication Title

International Journal of Automation and Computing

Volume

10

Issue

4

Pages/Article Number

319-326

Publisher

Springer

ISSN

1476-8186

eISSN

1751-8520

Date Submitted

2013-09-27

Date Accepted

2013-09-27

Date of First Publication

2013-09-27

Date of Final Publication

2013-09-27

ePrints ID

11969

Usage metrics

    University of Lincoln (Research Outputs)

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC