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Proceedings Paper

Self-tuning control of high precision servo-system using neural network
Author(s): Hongjie Hu; Zhaozan Meng
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Paper 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.

Paper Details

Date Published: 30 October 2006
PDF: 6 pages
Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 63583T (30 October 2006); doi: 10.1117/12.718171
Show Author Affiliations
Hongjie Hu, Beihang Univ. (China)
Zhaozan Meng, Beihang Univ. (China)


Published in SPIE Proceedings Vol. 6358:
Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation

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