Abstract

This paper presents the design and implementation of a super-twisting algorithm second-order sliding mode controller (SOSMC) for a synchronous reluctance motor. SOSMC is an effective tool for the control of uncertain nonlinear systems since it overcomes the main drawbacks of conventional sliding mode control, that is, large control effort and chattering. The practical implementation of SOSMC has simple control laws and assures an improvement in sliding accuracy with respect to conventional sliding mode control. This paper proposes a control scheme based on super-twisting algorithm SOSMC. The SOSMC is mathematically derived, and its performance is verified by simulation and experiments. The proposed SOSMC is robust against motor parameter variation and mitigates chattering.

Highlights

  • Synchronous reluctance motors (SynRMs) [1, 2] have been used as drive sources for many years but are regarded as dynamically inferior to synchronous and induction motors

  • This paper presents the design and implementation of a super-twisting algorithm second-order sliding mode controller (SOSMC) for a synchronous reluctance motor

  • This paper proposes a control scheme based on super-twisting algorithm SOSMC

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Summary

Introduction

Synchronous reluctance motors (SynRMs) [1, 2] have been used as drive sources for many years but are regarded as dynamically inferior to synchronous and induction motors. Many hybrid control techniques [15] combining various control elements have been developed to conquer the influence of external disturbances and approximation errors Though this approach accomplishes favorable tracking performance, the number of fuzzy rules in the control process increases considerably, when the nonlinear systems exhibit more degrees of freedom. Reference [21] presented super-twisting algorithm-based sliding mode controller for a refrigeration system and showed much more robustness at external noise in numerical simulation. Reference [23] adopted super-twisting sliding mode controller as a reduced order observer of the rotor fluxes estimation for synchronous motors in numerical simulation.

SYNRM Modeling
SYNRM Vector Control
Integral Variable Structure Sliding Mode Controller
Super-Twisting Algorithm Second-Order Sliding Mode Controller
Simulation and Experimental Results
Conclusions
Full Text
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