Improved Migration Genetic Algorithm Optimization for Variable-Speed Falling Trajectory of Mobile Crossbeam in Composite Hydraulic Press With Pressure Shock

The optimal design of the mobile crossbeam falling motion control system is an important way to improve the stability of the composite hydraulic press. At present, the falling control strategy is mostly designed by the empirical method, which has the disadvantages of low efficiency and long time. In this paper, a nonlinear hydraulic control system model and three types of falling trajectory mathematical models are established for the mobile crossbeam falling motion control system. Based on the comparison of the motion characteristics of each trajectory, a cubic polynomial falling trajectory which can effectively suppress vibration is designed. This paper proposes a method of trajectory planning based on the spline interpolation function and optimizes the trajectory globally with an improved migration genetic algorithm; the optimized system ITAE index is improved by 49.56% compared with the uniform speed trajectory. The experimental results show that the optimized trajectory's vibration settling time is reduced by 62.91% and the maximum pressure fluctuation is reduced by 25.34% compared with the uniform speed trajectory.