US-Egypt Cooperative Research: Design, Fabrication, and Intelligent Control of Nanopositioning Devices

0111263 CetinkuntDescription：该奖项旨在支持伊利诺伊大学芝加哥分校机械工程系Sabri Cetinkut博士和埃及开罗Ain Shams大学设计与生产工程系Magdy Abdelhameed博士之间的合作项目。其目标是开发用于高精度加工的纳米定位机构(压电刀架)的新控制系统，特别是在加工镜片、硅片和陶瓷等脆性材料时。用于控制纳米定位器运动的控制系统的性能对于保持稳定和准确的轨迹跟踪至关重要。这些研究人员将开发基于神经网络结构的新控制算法。具体地说，他们将使用小脑模型关节控制器(CMAC)神经网络体系结构来提高动态控制性能。他们还将在艾因沙姆斯大学的实验室为机电一体化控制系统设计和实施硬件设置。这将包括一个纳米定位器机构，传感系统，PZT致动器的功率放大器和实时控制器。范围：该项目支持两个有经验的研究人员之间的合作。伊利诺伊大学芝加哥分校的实验室拥有所需的设施。Cetinkut博士有使用基于神经网络的控制器进行纳米加工和快速刀具后处理操作的经验。这位埃及合作者在制造系统的动态和控制方面有一个积极的研究计划，在机电一体化方面也有一个积极的研究计划。该项目将包括两所大学之间的研究生交流。该建议符合INT支持共同感兴趣领域的合作研究的目标。该项目得到了美国-埃及联合基金计划的支持，该计划为两国的科学家和工程师提供资助，以开展这些合作活动。

0111263CetinkuntDescription: This award is to support a collaborative project between Dr. Sabri Cetinkunt, Department of Mechanical Engineering, University of Illinois at Chicago, Chicago, Illinois and Dr. Magdy Abdelhameed, Design and Production Engineering Department, Ain Shams University, Cairo, Egypt. The goal is to develop new control systems for a nano-positioner mechanism (piezoelectric tool post) used in high precision machining, specially when machining brittle materials such as mirrors, silicon wafers and ceramics. The performance of control systems used in controlling the motion of a nano-positioner is crucial in maintaining a stable and accurate trajectory tracking. These investigators will develop new control algorithms based on neural network architectures. Specifically they will use Cerebellar Model Articulation Controller (CMAC) neural network architecture to improve the dynamic control performance. They will also design and implement a hardware setup for the mechatronics control system at the laboratory at Ain Shams University. This will include a Nano-positioner mechanism, sensing system, power amplifier of the PZT actuator and the real time controller.Scope: The project supports collaboration between two experienced investigators. The laboratory at the University of Illinois at Chicago has the required facilities. Dr. Cetinkunt has experience using neural net-based controllers for nanomachining and fast tool post machining operations. The Egyptian collaborator has an active research program in the dynamic and control of manufacturing systems, and an active research program in mechatronics. The project will include exchange of graduate students between the two universities. The proposal meets the INT objective of supporting collaborative research in areas of mutual interest. This project is being supported under the US-Egypt Joint Fund Program, which provides grants to scientists and engineers in both countries to carry out these cooperative activities.