<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/13346" mdate="2008-01-29 00:00:00"> <author>Chin-Yin Chen and Chi-Cheng Cheng</author> <title>Robust Integrated Design for a Mechatronic Feed Drive System of Machine Tools</title> <pages>56 - 66</pages> <year>2008</year> <volume>2</volume> <number>1</number> <journal>International Journal of Mechanical and Mechatronics Engineering</journal> <ee>https://publications.waset.org/pdf/13346</ee> <url>https://publications.waset.org/vol/13</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>This paper aims at to develop a robust optimization methodology for the mechatronic modules of machine tools by considering all important characteristics from all structural and control domains in one single process. The relationship between these two domains is strongly coupled. In order to reduce the disturbance caused by parameters in either one, the mechanical and controller design domains need to be integrated. Therefore, the concurrent integrated design method Design For Control (DFC), will be employed in this paper. In this connect, it is not only applied to achieve minimal power consumption but also enhance structural performance and system response at same time. To investigate the method for integrated optimization, a mechatronic feed drive system of the machine tools is used as a design platform. ProEngineer and AnSys are first used to build the 3D model to analyze and design structure parameters such as elastic deformation, nature frequency and component size, based on their effects and sensitivities to the structure. In addition, the robust controller,based on Quantitative Feedback Theory (QFT), will be applied to determine proper control parameters for the controller. Therefore, overall physical properties of the machine tool will be obtained in the initial stage. Finally, the technology of design for control will be carried out to modify the structural and control parameters to achieve overall system performance. Hence, the corresponding productivity is expected to be greatly improved. </abstract> <index>Open Science Index 13, 2008</index> </article>