State space modeling of dimensional variation propagation in multistage machining process using differential motion vectors
被引:215
作者:
Zhou, SY
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机构:
Univ Wisconsin, Dept Ind Engn, Madison, WI 53706 USAUniv Wisconsin, Dept Ind Engn, Madison, WI 53706 USA
Zhou, SY
[1
]
Huang, Q
论文数: 0引用数: 0
h-index: 0
机构:Univ Wisconsin, Dept Ind Engn, Madison, WI 53706 USA
Huang, Q
Shi, JJ
论文数: 0引用数: 0
h-index: 0
机构:Univ Wisconsin, Dept Ind Engn, Madison, WI 53706 USA
Shi, JJ
机构:
[1] Univ Wisconsin, Dept Ind Engn, Madison, WI 53706 USA
[2] Univ Michigan, Dept Ind & Operat Engn, Ann Arbor, MI 48109 USA
来源:
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION
|
2003年
/
19卷
/
02期
基金:
美国国家科学基金会;
关键词:
differential motion vector;
multistage machining process;
state space model;
variation propagation;
D O I:
10.1109/TRA.2003.808852
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
In this paper, a state space model is developed to describe the dimensional variation propagation of multistage machining processes. A complicated machining system usually contains multiple stages. When the workpiece passes through multiple stages, machining errors at each stage will be accumulated and transformed onto the workpiece. Differential motion vector, a concept from the robotics field, is used in this model as the state vector to represent the geometric deviation of the workpiece. The deviation accumulation and transformation are quantitatively described by the state transition in the state space model. A systematic procedure that builds the model is presented and an experimental validation is also conducted. The validation result is satisfactory. This model has great potential to be applied to fault diagnosis and process design evaluation for complicated machining processes.