A new method to minimize the chattering phenomenon in sliding mode control based on intelligent control for induction motor drives | Zendy

Ismail Bendaas | Zendy; Farid Naceri | Zendy

Open Access

A new method to minimize the chattering phenomenon in sliding mode control based on intelligent control for induction motor drives

Author(s) -

Ismail Bendaas,

Farid Naceri

Publication year - 2013

Publication title -

serbian journal of electrical engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.133

H-Index - 5

eISSN - 2217-7183

pISSN - 1451-4869

DOI - 10.2298/sjee130108001b

Subject(s) - control theory (sociology) , sliding mode control , induction motor , torque ripple , robustness (evolution) , direct torque control , torque , fuzzy logic , engineering , ripple , variable structure control , vector control , fuzzy control system , robust control , control engineering , computer science , control system , control (management) , nonlinear system , physics , voltage , artificial intelligence , biochemistry , chemistry , quantum mechanics , electrical engineering , gene , thermodynamics

This paper presents new method toward the design of hybrid control with sliding-mode (SMC) plus fuzzy logic control (FLC) for induction motors. As the variations of both control system parameters and operating conditions occur, the conventional control methods may not be satisfied further. Sliding mode control is robust with respect to both induction motor parameter variations and external disturbances. By embedding a fuzzy logic control into the sliding mode control, the chattering (torque-ripple) problem with varying parameters, which are the main disadvantage in sliding-mode control, can be suppressed, Simulation results of the proposed control theme present good dynamic and steady-state performances as compared to the classical SMC from aspects for torque-ripple minimization, the quick dynamic torque response and robustness to disturbance and variation of parameters

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research