Industrial/University Collaboration for Research in Control of Sound and Wave Vibration

罗伯特·克拉克，杜克大学CMS-9908271工业/大学合作声和振动控制研究杜克大学自适应系统和结构实验室和Lord Corporation的千禧年技术集团共同确定了关于声和振动控制进步的关键技术研究目标。该方案的目标是成功地整合洛德公司和杜克大学在声音和振动控制方面的研究工作。该计划旨在通过一个综合和协作的研究计划，促进学术和工业环境之间的技术和思想转移。拟议方案的技术目标是推进结构声和振动控制所需的换能器技术和控制器设计方法的进步。拟议方案将在声和振动应用控制领域产生重大影响。基于实验系统辨识技术，将开发确定换能器最佳位置的新方法。建议的方法将导致一种对一般社区有价值的设计方法。此外，还将解决集成自感应式传感器所面临的实际问题，以促进技术转让并确定需要感应式应变传感器的应用的性能限制。对于多变量控制的实际实现，由于传感器动态、结构动力学和系统参数的变化，自校正或自适应是必需的。因此，为了提供实用的设计指南，还将探索自适应控制方法，重点是在已知系统时变参数的基本知识的情况下确定性能极限和鲁棒稳定性。

Robert L. Clark, Duke UniversityCMS-9908271Industrial / University Collaboration for Research in Control of Sound and VibrationThe Adaptive Systems and Structures Laboratory of Duke University and the Millennium Technologies Group of the Lord Corporation have jointly identified critical technical research objectives regarding advancements in the control of sound and vibration. The programmatic objective is aimed at the successful integration of research efforts at the Lord Corporation and Duke University with regards to the control of sound and vibration. The program aims to facilitate the transfer of technology and ideas between the academic and industrial setting through an integrated and collaborative research program. The technical objective of the proposed program is focused on the advancement of transducer technologies and controller design methodologies required for structural control of sound and vibration.The proposed program will have a significant impact within the field of applied control of sound and vibration. New methods will be developed for determining optimal positions of transducers based upon experimental system identification techniques. The method proposed will lead to a design methodology of value to the general community. Additionally, practical issues facing the integration of self-sensing transducers will be addressed to facilitate technology transfer and determine limits of performance for applications requiring induced strain transducers. For practical realization of multivariable control, self-tuning or adaptation is a necessity due to the variation in transducer dynamics, structural dynamics, and system parameters with each application. Thus, to provide practical design guidelines, adaptive control methodologies will also be explored with an emphasis on determining limits of performance and robust stability given a basic knowledge of the time-varying parameters of the system.