Title :
A self organizing intelligent controller for speed and torque control of a PMSM
Author :
Mobarakeh, B. Nahid ; Meibody-Tabar, F. ; Sargos, F.M.
Author_Institution :
Groupe de Recherche en Electron. et en Electrotech., Inst. Nat. Polytech. de Lorraine, Vandoeuvre-les-Nancy, France
Abstract :
In this paper, an intelligent self-organizing method for speed and torque control of a PMSM is proposed. The mechanical dynamic of the machine is supposed comparable to the electrical one. Two cases are studied: speed and torque control in presence of a rotor position sensor, and mechanical sensorless torque control. The obtained controllers are two dynamic recurrent neural networks with an almost optimized structure, trained by an original hybrid training method. Simulation results show that the closed-loop system responses are satisfactory
Keywords :
angular velocity control; closed loop systems; intelligent control; machine control; neurocontrollers; permanent magnet motors; recurrent neural nets; self-adjusting systems; synchronous motors; torque control; PMSM; almost optimized structure; closed-loop system; dynamic recurrent neural networks; hybrid training method; mechanical dynamic; mechanical sensorless torque control; rotor position sensor; self organizing intelligent controller; self-organizing method; sensorless control; speed control; torque control; Control systems; Electric variables control; Intelligent sensors; Machine vector control; Mechanical sensors; Neural networks; Optimization methods; Sensorless control; Stators; Torque control;
Conference_Titel :
Industry Applications Conference, 2000. Conference Record of the 2000 IEEE
Conference_Location :
Rome
Print_ISBN :
0-7803-6401-5
DOI :
10.1109/IAS.2000.882049
