Optimization of Scaling Factors of Fuzzy-Logic Controller for CVCF Inverter by Genetic Algorithm

Author

Liu, Bangyin ; Duan, Shanxu ; Kang, Yong ; Chen, Jian

Author_Institution

Dept. of Electr. Eng., Huazhong Univ. of Sci. & Technol., Wuhan

Volume

2

fYear

2005

fDate

29-29 Sept. 2005

Firstpage

1396

Lastpage

1400

Abstract

A novel fuzzy logic controller with repetitive learning action for CVCF inverters is presented in this paper. The repetitive learning action can reduce steady-state errors and distortions caused by unknown periodic disturbances, and the fuzzy logic controller (FLC) is used to improve its poor dynamic response with sudden load change. The scaling factors for the FLC are optimized by genetic algorithm (GA) in the proposed scheme. The control laws and design procedure of the control scheme are discussed. Simulation and experimental results for a single-phase CVCF inverter controlled by a TMS320F240 DSP are presented to verify the performance of the proposed control approach under different load conditions

Keywords

control system synthesis; digital control; digital signal processing chips; dynamic response; fuzzy control; genetic algorithms; invertors; FLC; TMS320F240 DSP; dynamic response; fuzzy-logic controller; genetic algorithm; scaling factor optimization; single-phase CVCF inverter; steady-state errors; Filters; Fuzzy control; Genetic algorithms; Inverters; Mathematical model; Open loop systems; Optimal control; Radio control; Sliding mode control; Steady-state;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Machines and Systems, 2005. ICEMS 2005. Proceedings of the Eighth International Conference on

Conference_Location

Nanjing

Print_ISBN

7-5062-7407-8

Type

conf

DOI

10.1109/ICEMS.2005.202777

Filename

1575010