Abstract
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.
Highlights
As one manner of the pneumatic force servo control, the double-cylinder pneumatic collaborative loading is extensively applied
To reach better control effect, the double-cylinder pneumatic force servo system is controlled by using the controller based on the neural network and the neural network double-variable control structure is shown as the f Fig. (7)
1) The step response curve of PID control is shown as the Fig. (8 and 9): 2) The step response curve of the neural network PID controller is shown as the Fig. (10 and 11)
Summary
As one manner of the pneumatic force servo control, the double-cylinder pneumatic collaborative loading is extensively applied. The double-cylinder collaborative loading studied in this paper is different from the above position loading system and belongs to the double-cylinder motion collaborative loading control system. When this system works, the motion speed of the load and clamping force of double cylinders on the load should be controlled simultaneously when the system is working, namely the load force and motion speed are controlled. It is complex to control the double-cylinder motion collaborative loading system and the main problem is to solve the mutual coupling problem of double variants and influence of different non-linear control factors of the system on control
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
