Robust sensorless speed tracking controller for surface-mount permanent magnet synchronous motors subjected to uncertain load variations

L. T. Aguilar, R. Ramírez-Villalobos, A. Ferreira de Loza and L. N. Coria

International Journal of Systems Science, 2020, vol. 51, issue 1, 35-48

Abstract: We address a solution of the sensorless high-speed tracking control problem for surface-mount permanent magnet synchronous motors under load torque variations. Since the only available measurements are the stator currents, the proposed scheme consists of a second-order sliding-mode observer interconnected with an $\mathcal {H}_{\infty } $H∞ controller. Thus, disregarding the use of additional sensors to measure the mechanical variables. The observer-controller interconnection is robust against uncertainties and unknown load torque variations. First, the observer estimates rotor angular position and speed variables, theoretically, in finite-time. Then, an $\mathcal {H}_{\infty } $H∞ controller attenuates the effects of uniformly bounded disturbances. Sufficient conditions are provided to ensure that the closed-loop system is stable. Moreover, it is internally asymptotically stable in the absence of uncertainties and external disturbances. The analysis shows that the observer-controller system possesses an $\mathcal {L}_2 $L2-gain less than a priori given disturbance attenuation level. Emulation trials showed the feasibility of the method.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2019.1692953 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tsysxx:v:51:y:2020:i:1:p:35-48

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TSYS20

DOI: 10.1080/00207721.2019.1692953

Access Statistics for this article

International Journal of Systems Science is currently edited by Visakan Kadirkamanathan

More articles in International Journal of Systems Science from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().