Abstract
To solve the imprecise description of efficiency and improve the accuracy of the key hydraulic components models in complex operating conditions, the traditional hydraulic pump and motor model is discussed and improved. With the non-linear improvement and the parameter optimization algorithms, model parameters can be determined based on the experimental efficiency data of samples. Take a motor product sample for example, the efficiency distribution of the improved model is much closer to the experimental results than that of the traditional model. The mean value and the variance value of percentage error for the improved model are much smaller, and the error analysis proves that the improved model is much more suitable for the modeling in complex operating conditions.
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Wang, A., Yue, B., Jiang, K., Li, X. (2010). Non-linear Improvement on Hydraulic Pump and Motor Models Based on Parameter Optimization Algorithms. In: Wang, F.L., Deng, H., Gao, Y., Lei, J. (eds) Artificial Intelligence and Computational Intelligence. AICI 2010. Lecture Notes in Computer Science(), vol 6320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16527-6_3
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DOI: https://doi.org/10.1007/978-3-642-16527-6_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16526-9
Online ISBN: 978-3-642-16527-6
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