DocumentCode :
389297
Title :
A hybrid fuzzy current regulator for three-phase voltage source PWM-inverter
Author :
Chen, Guang-da ; Cai, Wei-you ; Cai, Tian-fu ; Liu, Hai-feng
Author_Institution :
Sch. of Power & Mech. Eng., Wuhan Univ., China
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
919
Abstract :
This paper presents a fuzzy logic strategy for the current control of a three-phase voltage source power PWM-inverter. The base of this regulator is a direct digital predictive loop which has a very good dynamic performance, but the steady state performance will heavily depend on the accuracy of the model structure and plant´s parameters. To reduce the steady errors and compensate the system uncertainties, a feedforward control loop and a fuzzy logic algorithm are introduced. The direct digital predictive loop with the feedforward loop, which can be seen as a hybrid current regulator, generates the command voltage based on the nominal system conditions, guarantees the system with a very fast dynamic response and a smaller system error. The fuzzy logic algorithm, by measuring the amplitude and phase angle of the system error, generates a modifying signal to correct the gains of the direct digital predictive loop and the feedforward loop. When the difference between the reference and actual signals is larger than a given threshold, therefore it minimizes the effects of system uncertainties. Simulation results are presented to verify the effectiveness of the current regulation algorithm.
Keywords :
PWM invertors; digital control; electric current control; error compensation; feedforward; fuzzy control; fuzzy logic; predictive control; current control; digital predictive loop; dynamic response; error compensation; feedforward loop; fuzzy control; fuzzy logic; three-phase voltage source power PWM-inverter; Current control; Error correction; Fuzzy logic; Power system modeling; Predictive models; Pulse width modulation; Regulators; Steady-state; Uncertainty; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
Type :
conf
DOI :
10.1109/ICMLC.2002.1174517
Filename :
1174517
Link To Document :
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