| Summary: | 碩士 === 國立勤益科技大學 === 工業工程與管理系 === 101 === Because of automation technology is widely used in many cases will be combined with mechanical arm reached automation, robotic arm has the advantage of flexible and diverse, often used in the handling, assembly, painting, welding ... etc.; highly repetitive or working harsh environment applications , also very suitable for highly complex precision work. Therefore, in control, and must be able to precisely control the robotic arm shipped repeat positioning accuracy, precision natural development of control technology in mechanical arm positioning control, becomes extremely important.
In this study, multinational OEM manufacturers own production of an empirical study of the mechanical arm to construct mechanical arm repeat positioning accuracy optimization model, this study uses the Taguchi method to find out the key factors and using response surface methodology in the Central Composite Design and Box -Behnken Design in-depth analysis and improvement of simple genetic algorithm obtain optimal solution results for practical reference and decision-making when planning the reference.
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