Optimization of system parameters for APDL models Using Particle Swarm Optimization
碩士 === 國立臺北科技大學 === 自動化科技研究所 === 101 === In this study, the optimization code using MATLAB and ANSYS parametric design language (APDL) is proposed for parameter optimization. Three type optimization methods, which are genetic algorithm(GA), particle swarm optimization(PSO) and multi-objective geneti...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/t2c823 |
| Summary: | 碩士 === 國立臺北科技大學 === 自動化科技研究所 === 101 === In this study, the optimization code using MATLAB and ANSYS parametric design language (APDL) is proposed for parameter optimization. Three type optimization methods, which are genetic algorithm(GA), particle swarm optimization(PSO) and multi-objective genetic algorithms (MOGA), are studied in three case studies. The first two optimization methods are preformed using MATLAB codes integrated with APDL simulation to obtain the optimal parameters for comparison. The last one (MOGA) is implemented using the ANSYS workbench.
The first case is to obtain the optimal frequency variation for an ERF (Electro-Rheological Fluid) embedded structure for the shock absorber. A connector design is studied for the last two cases to achieve the maximal contact force with the minimal stress.
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