Cart (Loading....) | Create Account
Close category search window
 

DSP-based real-time implementation of a neural network observer and hybrid H Adaptive Controller for servo-motor drives

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Chen Yongjun ; Coll. of Electron. & Inf., Yangtze Univ., Jingzhou ; Huang Shenghua ; Wan Shanming ; Wu Fang

This paper presents a method for sensorless speed control of a non-salient permanent magnetic synchronous motor (PMSM). Special attention is put on the neural-based strategies and applied to the sensorless PMSM. An embedded hybrid Hinfin adaptive controller is implemented for trajectory tracking control of a PMSM servo drive system. The proposed control structure employs neural observer (DRNN) and Hinfin tracking controller algorithm to run on the hardware processor of the DSP. The result is a powerful tested for the rapid design and implementation of the controller for a low speed operation conditions. Experimental results are provided to verify the effectiveness of the proposed observer and controller.

Published in:

Control Conference, 2008. CCC 2008. 27th Chinese

Date of Conference:

16-18 July 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.