Prediction of diameter error of workpiece in turning process using fuzzy system based on recursive least square algorithm

According to the characteristics of diameter error of workpiece in turning process, fuzzy system based on recursive least square algorithm was used to predicate diameter error of workpiece caused by elastic deformation. Mamdani fuzzy system was trained by recursive least square algorithm and the reasonable parameters of the system were determined. Based on the relationship between diameter error of workpiece and cutting parameters such as depth of cut, feed, etc., turning experiment was designed to obtain the original training data and testing data, with which the system was trained and tested, errors were small. It turns out that Mamdani fuzzy system based on recursive least square algorithm is reliable to predicate diameter error of turning workpiece in the certain structure of workpiece and working conditions. Besides, Mamdani fuzzy system based on recursive least square algorithm was also compared with regression analysis to show the advantages for prediction of diameter error of turning workpiece in the certain structure of workpiece and working conditions.