New adaptive fuzzy sliding mode scheme for speed control of linear switched reluctance motor | Zendy

Azadru Allahverdi | Zendy; Masoudi Siamak | Zendy; Ghanizadeh Reza | Zendy; Alemi Payam | Zendy

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New adaptive fuzzy sliding mode scheme for speed control of linear switched reluctance motor

Author(s) -

Azadru Allahverdi,

Masoudi Siamak,

Ghanizadeh Reza,

Alemi Payam

Publication year - 2019

Publication title -

iet electric power applications

Language(s) - English

Resource type - Journals

ISSN - 1751-8679

DOI - 10.1049/iet-epa.2018.5764

Subject(s) - switched reluctance motor , control theory (sociology) , scheme (mathematics) , electronic speed control , fuzzy logic , reluctance motor , fuzzy control system , computer science , mode (computer interface) , sliding mode control , control engineering , control (management) , engineering , nonlinear system , mathematics , physics , artificial intelligence , electrical engineering , quantum mechanics , rotor (electric) , operating system , mathematical analysis

This study presents a new control system for a linear switched reluctance motor (LSRM). Type‐2 Takati‐Sugeno fuzzy system is used for the motor approximation. The uncertain parameters of the motor are described by the lower and upper membership functions. By constructing an integral sliding mode surface, an adaptive sliding mode controller is designed and dynamic stability of the sliding motion is verified using the Lyapunov function. The design of the proposed sliding mode surface is independent of the number of fuzzy rules and thus, computational complexity is significantly decreased. The control system is implemented on a double‐sided four‐phase LSRM and its performance is demonstrated by means of modelling and experimental results.

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