GOALI/FSI: High Speed Contouring Control of Stewart Platform Based Machine Tools

GOALI/FSI：基于 Stewart 平台的机床的高速轮廓控制

• 批准号: 9632986
• 负责人: Krishnaswamy Srinivasan
• 金额: $ 6.07万
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-08-01 至 2001-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9632986&HistoricalAwards=false
• 关键词: GOALI; FSI; Speed; Contouring; Control

9632986 Srinivasan This GOALI/Faculty and Graduate Student Internship award will investigate control and design approaches that can achieve contouring errors of less than 20 microns at machine tool feed rates of 10-20 m/s. The technical approach will use control algorithms that make effective use of machine dynamic models and two stage actuation concepts: short range-high bandwidth and long range-lower bandwidth actuators. These approaches are necessary and the performance results are possible with the six degree of freedom parallel link machines based on the Stewart platform machine tool designs introduced in recent years. This project will be carried out by a team of researchers at Ohio State University, the National Institute of Standard and Technology (NIST) and Ingersoll Milling Machine Company. It will support the faculty principal investigator and a graduate student as they experimentally determine dynamic parameters of Ingersoll's version of the Stewart platform machine tool at NIST. The research team will design a controller using this dynamic information and the two stage actuation concept, followed by experimental implementation at both NIST and Ingerqoll to evaluate performance. The technical impact of this research will be greater productivity in the manufacture of dies and molds through a combination of new structural designs integrated with new control concepts. Because of the three way partnership established between a university, national lab, and industrial firm, this project offers an ideal model for technology transfer.

9632986 Srinivasan 这个GOALI/教师和研究生实习奖将调查控制和设计方法，可以实现轮廓误差小于20微米，机床进给速度为10-20米/秒。 该技术方法将使用有效利用机器动态模型和两阶段致动概念的控制算法：短距离高带宽和长距离低带宽致动器。 这些方法是必要的，性能结果是可能的六自由度并联连杆机构的Stewart平台机床设计的基础上，近年来推出。 该项目将由俄亥俄州州立大学、国家标准与技术研究所（NIST）和英格索尔铣床公司的一组研究人员进行。 它将支持教师的首席研究员和研究生，因为他们实验确定动态参数英格索尔的版本的斯图尔特平台机床在NIST。 研究团队将使用此动态信息和两阶段驱动概念设计控制器，然后在NIST和Ingerqoll进行实验实施以评估性能。 这项研究的技术影响将是更大的生产力，在模具和模具的制造，通过结合新的结构设计与新的控制概念。 由于在大学、国家实验室和工业公司之间建立了三方合作伙伴关系，该项目为技术转让提供了一个理想的模式。