Research On Synchronous System Of Two Cylinders With Single Neuron PID Control Tactics

Hydraulic transmission control technology is widely used in the fields of manufacturing,engineering machinery,metal smelting,etc.Due to its advantages such as large bearing capacity,stable movement and easy to achieve complex movements.The development of modern industry has put forward higher requirements for the bearing capacity and precise control capability of hydraulic systems.Using proportionalvalveor servo valve to achievethesynchronous of hydraulic cylinder has become a more common choice.Compared with servo valves,proportional valves have the advantages of large driving force,strong anti-pollution ability,and high cost performance.However,the proportional valve has a neutral deadband and variable flow gain,so it is inferior to the servo valve in terms of synchronous accuracy.In addition,the leakage and friction in the hydraulic system and the coupling effect between the hydraulic cylinders in the multi-cylinder system make the multi-cylinder synchronous hydraulic system controlled by the proportional valve suffer from poor synchronization accuracy.This paper mainly studies the use of single neuron PID control strategy to optimize the control performance of the proportional valve.The optimized proportional valve is used to design a two-cylinder synchronous hydraulic control system with high synchronization accuracy.The system is studied and analyzedby simulation and related experiments.The main research contents and results are as follows:(1)The mathematical model of the system is established.By analyzing the composition and principle of the proportional valve-controlled single-cylinder control system,the mathematical model of each component in the system is established,and the mathematical model of the proportional valve-controlled single-cylinder control system is derived.On this basis,the force and dynamic characteristics of the two-cylinder system are analyzed,and a mathematical model of the proportional valve-controlled two-cylinder synchronization system is established.(2)The hydraulic and electrical parts of the experimental platform are designed.The experimental hydraulic circuit is designed and the control process of the electricalcontrol system is analyzed.Based on this,the corresponding components are selected,the principle and performance of the main components are explained,and an experimental platform is set up.(3)The dynamic characteristics of the system are analyzed.The nonlinear factors of the system are analyzed,including the friction characteristics of the hydraulic system,the asymmetry of the back and forth movement of the hydraulic cylinder,the deadband of the proportional valve,and the coupling between the two hydraulic cylinders when the two cylinders move synchronouslyanalysis.Aiming at these non-linear influencing factors,the method of establishing a friction characteristic function curve and using a current step to avoid the proportional valve from the deadband position were used to improve the two-cylinder synchronous control algorithm.(4)A proportional valve control algorithm based on single neuron PID control strategy is designed,and a synchronous control algorithm is designed to suppress the total disturbance of the system.Simulink was used to establish a simulation model,which was verified by simulation and compared with the classic PID control.The results show that the two-cylinder synchronous hydraulic system based on the single neuron PID control strategy has smaller synchronization errors than the classic PID control.(5)The PLC program for synchronous control is written.Single-cylinder position closed-loop experiments and two-cylinder synchronous experiments based on classic PID control and single neuron PID control were performed on the experimental platform.The experimental data were recorded and charts were generated.The experimental results show that the two-cylinder synchronization system based on the single neuron PID control strategy has good synchronization performance,which verifies the effectiveness of the algorithm of the two-cylinder synchronization system based on the single neuron PID control.