Open AccessMotor Drived Design Based On Pso And Pid In Reducing Ripple Tors And Ripple Fluxs In
Author(s) -
Sunardi Sunardi,
- Dwiyanto,
Wahyudi Wahyudi
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1361/1/012050
Subject(s) - control theory (sociology) , pid controller , torque ripple , direct torque control , induction motor , torque , stator , torque motor , particle swarm optimization , computer science , stall torque , engineering , control engineering , physics , voltage , control (management) , temperature control , mechanical engineering , electrical engineering , artificial intelligence , machine learning , thermodynamics
Direct torque control (DTC) of an induction motor tends to be a value determined from torque. The torque provided is the speed output regulator, therefore it must continue tuning to adjust the Kp, Ki parameters. In conventional proportional-integral (PI) speed controllers, motor performance may vary from time to time which may cause uncertain torque disturbances, causing a flux response sluggish so that the choice of PID parameters is important for DTC systems. In this paper we present control techniques using Particle Swarm Optimization (PSO) to improve parameters (Kp, Ki) of the speed controller to reduce torque ripple, flux stator distortion ripple and fast response of rotor speed. Unlike conventional designs, this method is able to achieve the desired control performance. The closed loop control speed in the DTC for induction motors uses PSO techniques so as to provide a practical level of accuracy. The results show good features and strong exemplary in dynamic system response and decreased motor and transient torque.