Using the nonlinear dynamics of the system,the robot and industrial servo press mechanisms are presented by examples.The robot systems and servo crank press mechanisms are identified and simulated to obtain the dynamic behavior of the research system.According to the different motion trajectories of the requirements,the soft computing technology is studied on the system,and the traditional PID control technology is applied.Relying on PSO-NN(Particle Swarm Optimization Neural Network),BP(Back Propagation),PSO-PID,PID and CasFF(Cascaded Feedforward)control methods,the control objectives are achieved.