Title :
Servo Follow-up System Controlled by CMAC ANN
Author :
Zhang, Tao ; JIANG, JingPing
Author_Institution :
Electron. Eng. Dept., North China Inst. of Sci. & Technol., Beijing, China
Abstract :
Basing on the experiment of PMSM as an object, the paper applies the learning control algorithm to control the servo follow-up system. The characteristic analysis and simulation computations demonstrate that the project can apparently improve the velocity and accuracy of the tracking response to the servo follow-up system.
Keywords :
cerebellar model arithmetic computers; learning (artificial intelligence); neurocontrollers; servomechanisms; CMAC ANN; artificial neural network; cerebellar model articulation controller; characteristic analysis; learning control algorithm; servo follow-up system; AC motors; Brushless DC motors; Brushless motors; Circuit simulation; Computational modeling; Control systems; DC motors; Permanent magnet motors; Servomechanisms; Servomotors;
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
DOI :
10.1109/GCIS.2009.23
