自学习智能模糊控制在铸坯测量中的应用

Self-learning Intelligent Fuzzy Control in the Measurement of Slab Oscillation Marks

目前,对铸坯表面振痕深度的测量,主要是操作人员使用游标卡尺或电镜直接对振痕深度进行手动测量,这种测量方法得到的测量结果精度较差,且每条铸坯的表面振痕深度不一,必须对其进行多处测量,因此操作人员的劳动量较大。针对此问题,设计了自学习智能模糊控制算法应用于铸坯振痕测量中,该装置能灵活地对冷却后的铸坯表面进行振痕深度的连续测量。

Currently, oscillation marks on the slab surface depth measurement, the operator u- sing a caliper or electron microscope manual measurements directly on the depth of the oscillation marks, the poor precision of the measurement results obtained by this method of measurement, and each of the billet surface oscillation marks depth varies its multiple measurements, the operator~ labor. Designed for this problem, self - learning intelligent fuzzy control algorithm is applied to the slab oscil- lation marks the continuous measurement of the measurement, the device can be flexibly slab surface after cooling oscillation mark depth.