Modelling and Identification of Electrohydraulic System and Its Application

Abstract In general, the first and the most important step in system analysis, prediction and control is the proper model of the system. In order to design the controller of nonlinear electrohydraulic system, several modeling techniques are proposed: the transfer function of the electrohydraulic system is identified using first-principle method, and the intelligent models are built by fuzzy modeling and neural networks. First, the Automatic Depth Control Electrohydraulic System (ADCES) of a certain type of weapon is introduced, and how to obtain the input-output data is proposed. Then, three modeling algorithms are detailed, including transfer function, fuzzy system and neural networks. Finally, five models are identified based on the ADCES; and the analysis of the obtained models lays the foundation of the controller design.

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