Optics and Precision Engineering, Volume. 25, Issue 9, 2428(2017)
Adaptive robust control over high-performance VCM-FSM
In order to improve the performance of the aviation photoelectrical stabilized platform, an adaptive robust control (ARC)-based VCM-FSM (voice coil mode-fast steering mirror) was proposed. Firstly, the current loop was adopted into electric circuit to simplify the complex model of motor into a first-order model and guarantee the stablity of output torque of the motor. Secondly, on the basis of conventional PD controller, ARC algorithm was introduced to control the position of VCM-FSM and restrain disturbance. Finally performance tests were conducted in bandwidth test experiment, disturbance restrain experiment, stabilization experiment of visual axis and robust experiment. As comparison, experimental results of DOB-based VCM-FSM and PCT-FSM were offered at the same time. As compared with the DOB-based VCM-FSM, parameter robust characteristic of proposed control method is stronger. Meanwhile, as compared with traditional PZT-FSM, it also exhibits longer travel range, much simpler driving circuit, and lower power consumption while the precision of LOS stability remains almost the same. Moreover, visual axis stabilization precision of ARC-based VSM-FSM within 5 μrad(RMS) can all be achieved under disturbance influence of any frequency within 80 Hz. This outstanding performance can be maintained at the temperature of -40 ℃ to 50 ℃, which is superior to the DOB-based VCM-FSM and can fulfill the requirements of a high precision aviation photoelectrical stabilized platform. Thus it has high practical value on improving anti-disturbance performance of control system for optoelectronic stabilizing platform of aviation.
Get Citation
Copy Citation Text
LI Xian-tao, ZHANG Xiao-pei, MAO Da-peng, SUN Jing-hui. Adaptive robust control over high-performance VCM-FSM[J]. Optics and Precision Engineering, 2017, 25(9): 2428
Category:
Received: Jul. 15, 2016
Accepted: --
Published Online: Oct. 30, 2017
The Author Email: Xian-tao LI (lixiantao_86@126.com)