Title :
Neural-network-based inverse control method for active power filter system
Author :
Wu, Jianhua ; Pang, Hali ; Xu, Xinhe
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Liaoning
Abstract :
A new type of active power filter (APF) is described. A multi-layered neural network based inverse control method for this APF system is proposed. The functioning of the APF system is based on a switching network whose characteristics are nonlinear. The characteristic of the switching on-off time of the switching network and the output current of the APF was demonstrated. The switching on-off time can be instantaneously calculated by using the neural-network-based inverse control algorithm proposed. The neural network was designed. An all digital control way may be realized by using the algorithm. The validation of the results of inverse control for APF is proposed as well
Keywords :
active filters; digital control; neurocontrollers; nonlinear control systems; power filters; active power filter system; neural-network-based inverse control method; nonlinear switching network; Active filters; Control systems; Inductors; Information science; Neural networks; Personal communication networks; Power conditioning; Power harmonic filters; Power system harmonics; Voltage;
Conference_Titel :
Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE
Conference_Location :
Munich
Print_ISBN :
0-7803-9797-5
Electronic_ISBN :
0-7803-9797-5
DOI :
10.1109/CACSD-CCA-ISIC.2006.4777132
