Active And Passive Vibration Control Of Electro-optical Pod Without Angular Displacement

Aerial reconnaissance has a wide range of applications for its time-sensitive,high accuracy,wide detection range,flexible,targeted.It can effectively compensate for the lack of satellite reconnaissance.But in the actual work environment,vibration prob-lems,which are caused by the flight and wind,will greatly affect the normal operation of optoelectronic devices.So the vibration suppression of optoelectronic devices is a hot issue all over the world.This paper investigates airborne optical pod vibration suppression status quo al-1 over the world,and summarizes the advantages and disadvantages of the common vibration isolation devices,and application isolation structure.We can found that research in airborne optical pod focused on passive vibration isolation in domestic,passive vibration isolation method can effectively suppress high-frequency vibration,but can not work well at low frequency vibration.In order to solve this problem,we propose a non-angular displacement of active and passive vibration isolation methods to suppress airborne optical equipment vibration problems.First the non-angular displacement structure was designed for optoelectronic devices,all the vibrations decomposed into line vibration in three directions;thereafter in three separate directions,an active and passive vibration control scheme is designed.the passive barrier is used to attenuate high frequency vibration and take advantage of active control algorithms and devices to achieve the low-frequency vibration.Upon completion of active and passive vibration isolation design.Considering the actual experiment the vibration signal is mixed with impulsive noise,we point out that the stability and Convergence of the traditional active control algorithm Filter-x Least Mean Square Algorithm(FxLMS algorithm)will be destroyed In this case,and analyze their causes.On this basis,we propose an improved scheme,the three aspects of the algorithm has been improved from the algorithm update.The feature of the proposed algorithm is that the reference signals are filtered through a TD filter to eliminate the interference.And the feedback errors are processed by a non-linear transformation.In order to improve the updated stability of the proposed algorithm,adaptive filter coefficients of the algorithm are updated using the past innovation vector.Taking these three methods,so the improved algorithm in the event of impact noise,maintain good stability and convergence properties.