Abstract
Response to a regulation of exhaust gas, saving energy and automation are the most important assignment in the construction machinery industry. In late years, automated construction systems including ICT machinery are researched and partially in practical use. The systems require simulation techniques in early stage of the design. A highly reliable model enables large cost reduction if nonlinearity and uncertainty of the machinery is reproduced with more precision. This paper refers to high-accuracy parameter identification for a hydraulic servo model used in controller developments. The parameters are identified from a measurement data recorded with a commercial machine. In the model, input is rate of lever operation and output is operational velocity of hydraulic cylinder. A plant model consists of a dead band, dead time and quadric transfer function, and parameters of the plant model is identified by using differential evolution (DE). The parameter identification by DE shows superior accuracy and convergence than one by genetic algorithm. The result shows that a useful plant model for development is identified by DE.
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