Title :
Neural networks used for torque ripple minimisation from a switched reluctance motor
Author :
Reay, D.S. ; Green, T.C. ; Williams, B.W.
Author_Institution :
Heriot-Watt Univ., UK
Abstract :
The application of neural techniques to the problem of torque ripple minimisation in a switched reluctance motor (SRM) is presented. More conventional techniques for torque linearisation and decoupling are reviewed, after which the application of a neural network to the problem is described. Results obtained experimentally and by simulation of a 4 kW IGBT power converter and 4-phase SRM are used to illustrate the approach. The networks used have been implemented using both digital signal processor (DSP) and field programmable gate array (FPGA) technologies
Keywords :
digital control; insulated gate bipolar transistors; machine control; neural nets; optimal control; power convertors; power transistors; reluctance motors; switching circuits; torque control; 4 kW; IGBT power converter; SRM; application; decoupling; digital control; digital signal processor; field programmable gate array; linearisation; machine control; neural network; optimal control; power transistors; switched reluctance motor; torque control; torque ripple minimisation;
Conference_Titel :
Power Electronics and Applications, 1993., Fifth European Conference on
Conference_Location :
Brighton
