Title :
Intelligent control of alternative current permanent magnet servomotor using neural network
Author :
Zhifei, Chen ; Yuejun, An ; Kebing, Jia ; Changzhi, Sun
Author_Institution :
Sch. of Electr. Eng., Shenyang Univ. of Technol., China
Abstract :
A momentum back-propagation neural network is applied to control of alternative current permanent magnet servo-motors operating in a high performance drives environment to inhibit the network from converging at the local minimum point. The emerging backpropagation neural networks have the capability to learn arbitrary nonlinearity and show great potential for intelligent control applications. A scheme for combing momentum back-propagation neural networks with traditional PID control techniques is proposed. The control action emulated with the aid of MATLAB shows that the new self-turning scheme can deal with a large unknown non-linearity
Keywords :
AC motors; backpropagation; control system analysis computing; electric machine analysis computing; machine control; machine theory; neurocontrollers; permanent magnet motors; servomotors; AC permanent magnet servomotor; MATLAB; PID control techniques; computer simulation; control design; control simulation; momentum back-propagation neural network; neural network-based control; Artificial neural networks; Biological neural networks; Computer networks; Intelligent control; Mathematical model; Neural networks; Neurons; Permanent magnets; Three-term control; Transfer functions;
Conference_Titel :
Electrical Machines and Systems, 2001. ICEMS 2001. Proceedings of the Fifth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
7-5062-5115-9
DOI :
10.1109/ICEMS.2001.971783
