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Proceedings Paper

Research on image-stabilizing system based on gyro-stabilized platform with reflector
Author(s): Zhiyong Tang; Zhongcai Pei; Baolin Wu
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Paper Abstract

The optical stabilized platform is important equipment for observing on vehicle. A kind of stabilized platform was introduced in this paper. In order to overcome the limitation of traditional compensation control, the double close loop based on displacement feedback loop and speed feedback loop was presented. The PID was used in speed feedback loop, and the fuzzy neural network (FNN) is used in displacement feedback control. The method united the fuzzy control and neural network, fuzzy control needn't build precise object model and can simulate the human experiences, and the neural network has the capabilities of self-learning and self-adaptation. So the FNN can adapt the change of parameters and disturbance. In order to prove the effectiveness of this controller, simulations have been done.

Paper Details

Date Published: 13 October 2008
PDF: 6 pages
Proc. SPIE 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment, 71281A (13 October 2008); doi: 10.1117/12.806665
Show Author Affiliations
Zhiyong Tang, Beijing Univ. of Aeronautics and Astronautics (China)
Zhongcai Pei, Beijing Univ. of Aeronautics and Astronautics (China)
Baolin Wu, Beijing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 7128:
Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment

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