Information Technology for Manufacturing Systems

Volumes 20-23

doi: 10.4028/www.scientific.net/AMM.20-23

Paper Title Page

Authors: Bang Qing Li, Mei Ping Xu, Yu Lan Ma
Abstract: Extending a symbolic computation algorithm, namely, (G′/G)-expansion method, a new series of exact solutions are constructed for (2+1)-dimensional generalization of shallow water wave equation. These solutions included hyperbolic function solution, trigonometric function solution and rational function solution. The procedure can illustrate that the new algorithm is concise, powerful and straightforward, and it can also be applied to find exact solutions for other high dimensional nonlinear evolution equations.
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Authors: Jin Jun Rao, Tong Yue Gao, Zhen Jiang, Zhen Bang Gong
Abstract: In order to provide a general purpose method to search optimum solution for complex constrained engineering problems without explicit system model, a hybrid optimization strategy based on artificial neural networks (ANNs) and genetic algorithms (GAs) is proposed in this paper. This strategy combines the strong nonlinearity mapping abilities of ANNs and effective and robust evolutionary searching ability of GAs. Firstly, ANNs are utilized to model the un-known system using inputs and outputs of system. Then the direct comparison approach based improved GAs are employed to search optimal solution in the constrained design space, using the trained ANNs as the function generator of system outputs. This strategy is implemented in optimization of design variables for sheet metal flanging process. The verification results of numerical simulation and the experiments demonstrate the feasibility and effectiveness of the strategy.
1522
Authors: Jin Jun Rao, Tong Yue Gao, Zhen Jiang, Zhen Bang Gong
Abstract: The onboard software of the flight control system (FCS) plays important role for small unmanned aerial vehicles’ performance. In this paper, the characteristics difficulties of the FCS software are analyzed firstly, then the compositions of the software are introduced using HIPO method. A genetic architecture of onboard software is presented to coordinate and organize the software and function modules, and an unique task scheduling strategy is designed and applied to realize multi-task processing. Finally, on the basis of the elementary operation procedure of the software, the flight experiment is implemented, and the feasibility and reliability of the onboard software is validated.
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