Design for Sampler of Radioactive Source Based on Iterative Learning Control Law

A new improved solution was put forward for a applied radioactive source sampler by which a bigger sample range could be obtained.In the aspect of automatic control,an iterative learning control algorithm was applied to decrease radiation of radioactive ray to human body.So using the improved radioactive source sampler,satisfying track following control effect can be gotten,and remote sampling manipulation under supervisory control can be realized.