Self-tuning control of high precision servo-system using neural network

Hongjie Hu; Zhaozan Meng

doi:10.1117/12.718171

30 October 2006 Self-tuning control of high precision servo-system using neural network

Hongjie Hu, Zhaozan Meng

Proceedings Volume 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation; 63583T (2006) https://doi.org/10.1117/12.718171
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

The tradition PI control method based on a model is simple, and easy to realize. But, it has not a good restraining effect on varieties of load disturbance and model parameters. To resolve the problem, this paper presents a self-tuning PI control method based on neural network. The PI parameters are adjusted by using a load disturbance observer and neural network identifier so that the influence that caused by the load disturbance and model parameters varieties are weakened, and the system robustness is improved. The simulation result shows that the method is valid.

Citation Download Citation

Hongjie Hu and Zhaozan Meng "Self-tuning control of high precision servo-system using neural network", Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 63583T (30 October 2006); https://doi.org/10.1117/12.718171

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available