Title :
Notice of Retraction
Energy-Saving Control Based on Neural Network Inverse Decoupling for Asynchronous Motors
Author :
Zhang Dongdong ; Luo Wenguang ; Chen Wenhui ; Xie Rongxian
Author_Institution :
Dept. of Electron. Inf. & Control Eng., Guangxi Univ. of Technol., Liuzhou, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Because the conventional vector control for asynchronous motors is a kind of steady-state decoupling control, decoupling performance and energy-saving effect degrade in the dynamic process of energy-saving control by regulation of excitation and the load sudden changing. To solve the above problems, a novel energy-saving control method is proposed, which combines the neural network inverse decoupling of asynchronous motor control with the optimization strategy based on the loss model. The simulation results show the method has good dynamic energy-saving effect and stronger ability to track the load.
Keywords :
energy conservation; induction motors; load regulation; machine vector control; neurocontrollers; optimisation; asynchronous motor control; dynamic energy-saving effect; loss model; neural network inverse decoupling; steady-state decoupling control; vector control; Inductance; Intrusion detection; Iron; Machine vector control; Neural networks; Rotors; Stator cores; Steady-state; Synchronous motors; Torque control;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
DOI :
10.1109/APPEEC.2010.5448869
