Research on adaptive control for electro-hydraulic poppet valve conductivity

Abstract：In order to solve the problem that the conductivity of electro-hydraulic poppet valve (EHPV) is easily affected by external factors and difficult to be controlled, an adaptive intelligent controller was proposed based on the nodal link perception link (NLPL) .The controller adaptively learned the inverse input state mapping of the EHPV by means of the NLPN, and approximated to the object function and forced it to track the flow coefficient characteristics and the expected system pressure.In addition, a fault detection algorithm was added to the controller to detect the state parameters of the controlled target, and the parameters of the algorithm were compared with the pre-established performance bound deviation.The controlled object was forced to transfer to the corresponding state module to extract its fault features and obtain diagnostic results.The simulation results showed that the adaptive intelligent controller could achieve a good tracking for the expected NLPN conductivity and the system operating pressure, and the average tracking error was-0.2×10^-4m³/ (s·Pa) and-0.004 MPa, respectively.The results were superior to other control algorithms.The proposed controller could establish foundations for the model identification and the rapid and accurate fault diagnosis of hydraulic valves.

Keyword：electro-hydraulic poppet valve;nodal link perception link;adaptive learning control;fault detection algorithm;