Information Analysis of Flexible Deformation with Regression Estimation for EAST Articulated Maintenance Arm

Remote handling manipulation solves many problems of devices maintenance, as existence in many other automations filed, regression algorithms are widely applied for information analysis and sensor fusion. In this case, long articulated arm usually shows flexible beam relative disturbance and deformation. In this paper, the deformation of movement decreases along with the yaw joint angle decreasing, taking account into the sensor accuracy, it is eligible to treat the deformation linear. Fingerprint is a traditional manner to solve deformation assignment problem. Multiple regression analysis methods are assigned to estimate robot flexibility deformation, after the evaluation of test output, the excellent result is adopted to overcome the static deformation error. The advanced method guarantees generality, particularity, accuracy and prediction speed. The result could be improved by increasing the sample data or making partial static model could have further improvement.