Modularized control dynamics simulation method for heavy-load industrial robot for aviation

The invention belongs to the technical field of aviation, and particularly relates to an aviation heavy-load industrial robot modular control dynamics simulation method, which is characterized in that a heavy-load industrial robot dynamic characteristic simulation method based on a dynamics modular control unit is established, and a robot system dynamics model topological graph is combined; a dynamic control model of a whole robot system is rapidly integrated and built, control design and performance analysis of the heavy-load industrial robot are achieved, meanwhile, joint nonlinear interference characteristics are simulated through a neural network model, the control precision of the heavy-load industrial robot is improved, and the control precision is improved. Efficient and accurate modeling and rapid iterative optimization of a heavy-load industrial robot dynamics control system are achieved, the problems that a robot is low in calculation speed, low in optimization efficiency and difficult in control de