Current Research
Control of Precision Positioning Machine
Principal investigator:
Graduate student:
Joshua Tarbutton
Sponsor:
Timken
Brief abstract:
Significant time in manufacturing processes is spent on tuning of servomechanisms. This time investment is compounded by multiple machines in various locations and having to periodically re-tune these machines. The purpose of this research is to develop a method to automate the modeling and tuning process for high-precision control purposes. An accurate plant model is determined by system identification and combined with an actual machines controller structure. The gains necessary to achieve the desired control performance are obtained deterministically by using pole-placement. This procedure can virtually eliminate or significantly reduce the time burden of tuning.
Impact:
The approach taken in this research is applicable to nearly all servomechanism processes. Manufacturing companies using machine tools to cut or measure parts will benefit from the relieved burden of tuning by implementing a similar automation approach. Other applications where modeling is important will also benefit from following a similar approach to automate the modeling process. In addition, the information obtained by using system identification and pole-placement can be useful for subsequent purchases and design purposes.
Project schedule:
June 1, 2006, to May 31, 2008
