Research on Pneumatic Servo Control for Double-Cylinder Collaborative Loading Based on Neural Network

The pneumatic control system for double-cylinder collaborative loading is extensively applied in the industry. However, compared to the hydraulic system, it is difficult for the pneumatic system for double-cylinder collaborative loading to get satisfactory effect due to strong non-linearity and low rigidity. To improve robustness of the double-cylinder collaborative loading system and increase its control precision, the double-looped PID hybrid controller and doublevariable neural network PDI controller are designed. The comparative test is performed for them in research. The research results indicate that the neutral network control is strongly adaptive to the unknown, uncertain and non-linear features of the controlled objects, can effectively overcome unfavorable influences of the non-linear factors on the system, and improve the control quality.