A Model Predictive Control to Reduce Torque Ripple for Brushless DC Motor with Inbuilt Stator Current Control | Zendy

M. Arun Noyal Doss | Zendy; Subhransu Sekhar Dash | Zendy; V.Marthandan D.Mahesh | Zendy

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A Model Predictive Control to Reduce Torque Ripple for Brushless DC Motor with Inbuilt Stator Current Control

Author(s) -

M. Arun Noyal Doss,

Subhransu Sekhar Dash,

V.Marthandan D.Mahesh

Publication year - 2013

Publication title -

universal journal of electrical and electronic engineering

Language(s) - English

Resource type - Journals

eISSN - 2332-3299

pISSN - 2332-3280

DOI - 10.13189/ujeee.2013.010301

Subject(s) - model predictive control , control theory (sociology) , stator , ripple , current (fluid) , torque ripple , torque , dc motor , control (management) , direct torque control , engineering , computer science , physics , induction motor , artificial intelligence , mechanical engineering , electrical engineering , voltage , thermodynamics

Torque-Ripple control of brushless DC motor has been the main obstacle in drive system in which speed fluctuation, vibration and acoustics noise should be minimized. This paper proposes the results of simulation and the experiment shows that the stator current can be improved and torque-ripple can be reduced obviously. Model predictive control (MPC) is used to generate the pulses to the gate circuit of three phase inverter. It consists of sensors, rectifier, controller .This has been simulated with the help of PSIM, filter effect is analyzed by FFT and current controlled technique is based on the generation of quasi-square wave currents using only one controller for all the three phases.

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