Power electronics converter control based on neural network and fuzzy logic methods

Author

Lin, Bor-Ren ; Hoft, Richard G.

Author_Institution

Power Electron. Res. Center, Missouri Univ., Columbia, MO, USA

fYear

1993

fDate

20-24 Jun 1993

Firstpage

900

Lastpage

906

Abstract

Current-controlled voltage source inverters offer substantial advantages in improving motor system dynamics for high-performance AC drive systems. The controller switches follow a set of reference current waveforms. Fixed-band hysteresis and sinusoidal-band hysteresis controllers have been studied. Neural network and fuzzy logic based current-controlled voltage source inverters are developed. The models and learning techniques are investigated by simulation. The implementation of neural networks is described and simulation results are presented. The application of fuzzy control to DC-DC power converters operating at finite switching frequency is studied. Several control methods currently used for buck and boost converters are compared to the fuzzy converter control. Simulation results for several control methods are presented. The simulations show that the fuzzy control method has better dynamic performance and less steady state error

Keywords

AC motor drives; DC-AC power convertors; DC-DC power convertors; control system analysis; control system synthesis; electric current control; fuzzy control; invertors; learning (artificial intelligence); machine control; model reference adaptive control systems; neurocontrollers; voltage control; AC drive systems; DC-DC power converters; MRACS; boost; buck; current control; dynamic performance; fuzzy logic; hysteresis controllers; learning techniques; models; motor system dynamics; neural network; simulation; steady state error; switching frequency; voltage source inverters; AC motors; Fuzzy control; Fuzzy logic; Hysteresis motors; Inverters; Neural networks; Power electronics; Power system modeling; Switches; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics Specialists Conference, 1993. PESC '93 Record., 24th Annual IEEE

Conference_Location

Seattle, WA

Print_ISBN

0-7803-1243-0

Type

conf

DOI

10.1109/PESC.1993.472028

Filename

472028