Paper
28 February 2017 Movement decoupling control for two-axis fast steering mirror
Author Affiliations +
Proceedings Volume 10256, Second International Conference on Photonics and Optical Engineering; 1025625 (2017) https://doi.org/10.1117/12.2257346
Event: Second International Conference on Photonics and Optical Engineering, 2016, Xi'an, China
Abstract
Based on flexure hinge and piezoelectric actuator of two-axis fast steering mirror is a complex system with time varying, uncertain and strong coupling. It is extremely difficult to achieve high precision decoupling control with the traditional PID control method. The feedback error learning method was established an inverse hysteresis model which was based inner product dynamic neural network nonlinear and no-smooth for piezo-ceramic. In order to improve the actuator high precision, a method was proposed, which was based piezo-ceramic inverse model of two dynamic neural network adaptive control. The experiment result indicated that, compared with two neural network adaptive movement decoupling control algorithm, static relative error is reduced from 4.44% to 0.30% and coupling degree is reduced from 12.71% to 0.60%, while dynamic relative error is reduced from 13.92% to 2.85% and coupling degree is reduced from 2.63% to 1.17%.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rui Wang, Yongming Qiao II, and Tao Lv III "Movement decoupling control for two-axis fast steering mirror", Proc. SPIE 10256, Second International Conference on Photonics and Optical Engineering, 1025625 (28 February 2017); https://doi.org/10.1117/12.2257346
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KEYWORDS
Neural networks

Adaptive control

Mirrors

Actuators

Motion controllers

Complex systems

Error analysis

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