Positioning Control Strategy of Hydraulic Support Pushing System in Fully Mechanized Coal Face

Abstract

At present, the hydraulic support pushing system in coal mines usually uses an electrohydraulic directional valve as the control component. However, the existing control methods based on high-speed on–off valve, servo, and proportional control methods are not suitable for solving such problems because of the nonideal characteristics of the electrohydraulic directional valve, such as discrete input values, low switching frequency, and time delay. This paper proposes a positioning control scheme based on online predictive feedback for the control of hydraulic cylinders by electrohydraulic directional valves. In this scheme, the recursive least-squares estimation algorithm with genetic factors is used to identify the required prediction model in real time, and an improved radial basis function network based on generalized growth and shear is used to realize the online fitting of the target trajectory function. The online learning algorithm provides accurate prediction information for the switching control method, and finally, the hydraulic cylinder can be positioned near the target position using the optimal control method. By using the above methods, a well-designed model can be accurately identified, fundamentally solving the problem of control difficulties caused by the nonideal characteristics of the electrohydraulic directional valve. Finally, the effectiveness of the control scheme is verified through simulation analysis and physical experiment research, which proves that the control strategy can realize accurate and fast positioning control for the hydraulic support pushing system of a fully mechanized mining face.

Research on a Pressure Control Method for a Liquid Supply System Based on Online Updating of a Radial Basis Function Neural Network

“…First, as a comparison, a rated liquid supply experiment and a PID control experiment were carried out in the platform [29]. The pressure curve of the acquisition system is shown in Figures 17 and 18.…”

Application of an Automated Top Coal Caving Control System: The Case of Wangjialing Coal Mine

“…The primary issue during top coal caving lies in accurately monitoring and analyzing the flow field of coal gangue while also predicting the optimal timing for closing the coal cave opening [17,18]. Furthermore, an automated electrohydraulic control system can be employed to regulate movement of the tail beam and insert a plate for hydraulic support [19,20]. Efficiently opening and closing a coal cave opening is realized by precisely controlling its position and stroke.…”