Intelligent manipulator control model based on machine algorithm compilation

In order to improve the automatic control ability of rope traction parallel connection, the design method of automatic control system of rope traction parallel connection based on machine algorithm compilation is proposed. The nonlinear coupling parameter calibration model of cable traction parallel automation control is established by adopting the method of terminal position accuracy correction, the big data analysis model of cable traction parallel automation control system is established by adopting the method of model uncertainty parameter identification, the decision rule design of cable traction parallel automation control is realized by combining with expert system, the adaptive regulation control law of cable traction parallel automation control is established by adopting the method of terminal position error compensation of neural network, and the machine learning compiler controller is adopted to optimize the configuration of cable traction parallel automation control parameters and improve the adaptive control performance. The simulation results show that the output stability of the automatic control of rope traction parallel is better and the precision of the end position is significantly improved.