Random noise filtering technology of piezoelectricity gyro

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.