Hybrid fuzzy-PI neural networks control with feedforward compensator for three-phase voltage source rectifier

Author

Qiang, Mei ; Bao-Cheng, Wang ; Wei-Yang, Wu ; Sun Xiao-feng ; He-Rong, Gu

Author_Institution

Inst. of Electr. Eng., Yanshan Univ., Hebei, China

Volume

3

fYear

2004

fDate

14-16 Aug. 2004

Firstpage

1613

Abstract

Two-loop control based on a kind of neural networks current inner-loop and hybrid fuzzy-PI voltage outer-loop is discussed in the paper. As far as three phase voltage converter system is concerned, the control of neural networks makes it more strongly robust, hybrid fuzzy-PI accelerate the response of system. To improve the antiinterference of system, the current feedforward compensator is added. TMS320LF2407A that is the up to date production of TI Company is adopted to fulfill the entirely digital control. The simulation and experimentation result show the method is very effective.

Keywords

PI control; PWM power convertors; digital control; digital signal processing chips; feedforward; fuzzy control; neural nets; rectifying circuits; robust control; DSP digital control; TI Company; TMS320LF2407A; antiinterference improvement; current loop; feedforward compensator; hybrid fuzzy-PI control; neural networks control; robustness; two-loop control; voltage converter system; voltage source rectifier;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Motion Control Conference, 2004. IPEMC 2004. The 4th International

Conference_Location

Xi´an

Print_ISBN

7-5605-1869-9

Type

conf

Filename

1376988