Title :
Power electronics inverter control with neural networks
Author :
Lin, Bor-Ren ; Hoft, Richard G.
Author_Institution :
Power Electron. Res. Center, Missouri Univ., Columbia, MO, USA
Abstract :
Current-controlled voltage source inverters offer substantial advantages in improving motor system dynamics in high-performance AC drive systems. The controller switches follow a set of reference current waveforms. Fixed-band hysteresis and sinusoidal-band hysteresis controllers are studied. A neural-network-based current-controlled voltage source inverter is developed. The modes and learning techniques are investigated by simulation. The implementation of neural networks is described, and simulation results are presented
Keywords :
electric current control; electric drives; invertors; learning (artificial intelligence); neural nets; current controlled voltage source inverters; high-performance AC drive systems; hysteresis controllers; learning techniques; neural networks; power electronics; simulation; sinusoidal-band hysteresis controllers; AC motors; Artificial neural networks; Current control; Hysteresis; Neural networks; Power electronics; Pulse width modulation; Pulse width modulation inverters; Switching frequency; Voltage;
Conference_Titel :
Applied Power Electronics Conference and Exposition, 1993. APEC '93. Conference Proceedings 1993., Eighth Annual
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0983-9
DOI :
10.1109/APEC.1993.290640
