System Characterization, Control and Optimal Feed -Rate Scheduling for High -Speed Machining and Nano Positioning

Finally, a provably-optimal feedrate-optimization (trajectory planning) algorithm is developed to exploit the capabilities of a given physical motion system. System capabilities and process requirements are modeled and formulated as constraints to drive the algorithm. The resulting trajectory makes full use of the system capabilities and completes the required task in the minimum time, while satisfying all performance requirements such as dimensional error, maximum cutting force, etc. A bi-directional scan structure is adopted for the algorithm and a sub-optimization structure for each optimized point. These features make the algorithm computationally efficient, extendable to any state-dependent constraints and robust with respect to singularity difficulties often encountered in the optimal control approach. By studying the behavior of the algorithm in the phase plane, global optimality of this feedrate-optimization algorithm is proved.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Mechanical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Dong, Jingyan

Contributors dc:contributor

• Ferreira, Placid M.
• James A. Stori

• Engineering, Mechanical

Language dc:language

eng

Identifier

(MiAaPQ)AAI3242837

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/83856