电动叉车泵阀协同系统的智能节能控制策略研究OA

To tackle the high energy consumption and control complexity in traditional electric forklift hydraulic systems,this study proposes a novel control strategy for pump-valve coordinated system.The strategy employs a linear active disturbance rejection controller to enhance dynamic performance and utilizes an improved greater cane rat algorithm for adaptive parameter optimization.Firstly,a mathematical model of the electro-hydraulic servo system is established.Then,the control strategy is designed:linear active disturbance rejection controllers are applied to both the pump and valve subsystems,and a pressure command controller is developed for coordination.Subsequently,the improved greater cane rat algorithm tunes the controller parameters.Finally,verification is conducted through a co-simulation model built in AMESim and MATLAB/Simulink.Simulation results demonstrate that the proposed strategy effectively regulates the servo valve opening and the pump's output flow and pressure.Compared with a PID-controlled system,it achieves faster response,higher accuracy,and maintains a position error within 0.003 m.Moreover,it significantly reduces throttling and overflow losses compared to traditional valve control systems,yielding an energy-saving rate of 41.78%.