Parameter Optimization of a Shell Elevating Device with Interval Uncertainties

doi:10.3969/j.issn.1000-1093.2015.06.022

Abstract

Abstract: An optimization method for shell elevating device with interval uncertainties is proposed to solve the problem of performance degradation during operating. A multidisciplinary model based on ADAMS is established. The parameters of hydraulic system and the friction coefficient are regarded as the interval uncertainties, and the minimal loading and fluctuation on the mechanism are set as the objectives by using the interval theory. Simulations are carried out on Latin hypercube sampling (LHS) points. An approximate model of shell elevating device is constructed based on radial basis function (RBF) neural networks to improve the efficiency. The nested optimization method based on multi-island GA and NLPQL is used to obtain the robust solutions. The simulation and experimental results demonstrate the efficiency and adaptability of the proposed method for solving the complex problems in automatic loading system.

Key words: ordnance science and technology, automatic loading system, elevating device, parameter optimization, interval uncertainty, radial basis function neural network

CLC Number:

TJ303⁺.3

JIANG Qing-shan, QIAN Lin-fang, XU Ya-dong, ZOU Quan. Parameter Optimization of a Shell Elevating Device with Interval Uncertainties[J]. Acta Armamentarii, 2015, 36(6): 1117-1122.

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