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空间制冷机压缩机的振动是制约其应用于敏感仪器的一项关键因素,压缩机的振动会导致成像模糊,降低探测目标的分辨率和定位精度,甚至引起平台的机械共振。为了降低压缩机振动对空间有效载荷敏感器件的影响,采用基于自适应窄带陷波滤波器的自适应主动减振算法,此算法与振动传递函数模型无关,不受应用环境的限制,通过不断调整驱动信号的幅度和相位来实现自适应减振。搭建了由DSP控制软件、硬件电路、振动传感器组成的自适应主动减振系统,将此算法首次用于压缩机减振,并试验验证了算法的有效性。将压缩机的基频振动由0.166m/s2降低为0.014m/s2,下降了21.2dB。
Compressor vibration in space refrigerator is a key factor restricting its application to sensitive instruments. Compressor vibration can lead to image blur, reduce the resolution and positioning accuracy of the detection target, and even cause mechanical resonance of the platform. In order to reduce the impact of compressor vibration on space payload sensitive devices, an adaptive active vibration reduction algorithm based on adaptive narrow-band notch filter is adopted. The algorithm is independent of the vibration transfer function model and is not limited by the application environment. Through constant adjustment Drive signal amplitude and phase to achieve adaptive damping. The adaptive active vibration reduction system composed of DSP control software, hardware circuit and vibration sensor is built. This algorithm is firstly used to reduce the vibration of the compressor, and the validity of the algorithm is verified through experiments. The compressor base frequency vibration reduced from 0.166m / s2 to 0.014m / s2, down 21.2dB.