Open AccessNew 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) - control theory (sociology) , sliding mode control , switched reluctance motor , fuzzy control system , fuzzy logic , lyapunov function , lyapunov stability , controller (irrigation) , computer science , mode (computer interface) , adaptive system , mathematics , engineering , nonlinear system , control (management) , physics , artificial intelligence , quantum mechanics , rotor (electric) , operating system , mechanical engineering , agronomy , biology
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.