The application discloses a large
forging manipulator motion trajectory model construction method, and relates to the technical field of large
forging equipment control. The method comprises the following steps: a
manipulator kinematics model is established based on an improved D-H parameter method, and
model parameters are updated in real time through online calibration; an analytical Jacobian matrix is constructed to identify and smooth the transition
singular configuration; in the SE(3) space, spherical linear interpolation or
quaternion interpolation is adopted for attitude interpolation, and a smooth trajectory is generated in combination with multi-objective optimization; a multi-source nonlinear constraint model covering machinery, driving, process and safety is established, integrated decision is made based on
model predictive control; finite element and multi-
body dynamics simulation are used to predict the response, and
model parameters are optimized based on measured data through Bayesian updating or least square method. The application significantly improves the end position accuracy, trajectory smoothness and production efficiency, and solves the problems of inaccurate modeling, attitude
mutation, incomplete constraint consideration and lack of
continuous optimization in the traditional method.