Title :
Random noise filtering technology of piezoelectricity gyro
Author :
Qingjun, Li ; Yongming, Yang
Author_Institution :
Changchun Inst. of Opt., Fine Mech. & Phys., Chinese Acad. of Sci., Changchun, China
Abstract :
Inertia sensing elements are usually adopted as the sensors of velocity stabilization loop in airborne photoelectric equipments, which are constituted stabilized control system, that purpose is reducing the influence of the movement of carrier to visual axis of photoelectric probing system. But gyro, especially the piezoelectricity gyro generates drift, which is the main error source of photoelectric stabilized control system; therefore we need to adopt filtering processing to reduce influence to control system. In this paper, we analyze the characteristic of noise gyro drift, and utilize Kalman filtering technology to conduct filtering processing to output signal of gyro, this method can reduce output noise effectively. The simulation results show that the proposed filtering processing method can improve the low velocity characteristic.
Keywords :
Kalman filters; gyroscopes; piezoelectric devices; random noise; velocity measurement; Kalman filtering; airborne photoelectric equipments; inertia sensing elements; noise gyro drift; photoelectric probing system; photoelectric stabilized control system; piezoelectricity gyro; random noise filtering; velocity stabilization loop; Monitoring; Kalman filtering; piezoelectricity gyro; servo control;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5609945