Robust digital position control algorithm of PMSM using simple neural network compensator

Autor:	Myung-Joong Youn, Jong-Sun Ko, Chan-Ho Hong
Rok vydání:	2003
Předmět:	Engineering Artificial neural network business.industry Feed forward Control engineering Weighting law.invention Microprocessor law Control theory Robustness (computer science) Feedforward neural network Electrical and Electronic Engineering business Position control Servo
Zdroj:	International Journal of Electronics. 90:13-26
ISSN:	1362-3060 0020-7217
DOI:	10.1080/002072131000120560
Popis:	A very simple control approach using a neural network for the robust position control of a permanent magnet synchronous motor (PMSM) is presented. The linear quadratic controller plus feedforward neural network compensator is employed to obtain the robust PMSM system approximately linearized using a field-orientation method for an AC servo. The neural network is trained in on-line phases and a feedforward recall and error back-propagation training compose this neural network. Since the total number of nodes is only eight, this system is realized easily by the general microprocessor. During normal operation, the input–output response is sampled and the weighting value is trained multi-times by an error back-propagation method at each sample period to accommodate the possible variations in the parameters or load torque. The state space analysis is also performed to obtain the state feedback gains systematically. In addition, the robustness is also obtained without affecting overall system response. A floati...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0d5e6eee7a9955ee1ee9b5a9905f7fe3 https://doi.org/10.1080/002072131000120560 Zobrazit plný text záznamu