Adaptive Backstepping Control of Hydraulic Cylinder for Mining Hydraulic Support
HAN Zhangming
Abstract：The stability of hydraulic support supply control in coal mining face directly affects the safety and efficiency of coal mining.Existing control methods have limitations in dealing with system nonlinearity and load changes.Therefore,an adaptive backstepping control method based on proportional valve control and neural network was proposed to improve the control performance of hydraulic support cylinders and enhance system stability.Firstly,a numerical model of the system was established based on equilibrium mechanics,and a neural network was used to approximate the unknown functions of the system,simplifying the controller design.Then,a backstepping method was used to design the controller and parameter adaptive law to achieve system stability and compensate for parameter uncertainty.Through Matlab simulation verification,the results showed that the system could achieve good tracking performance under different load masses,and the tracking error converges to a small neighborhood near the zero point,demonstrating the excellent tracking performance and robustness of the control method.This study provides theoretical support for the control of hydraulic support cylinders for mining.
Keywords：mining hydraulic support hydraulic cylinderbackstepping controlneural networkMatlab simula-tion
Publication Date：2025-04-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 7-11 )