Five-Axis Contour Error Control Based on Numerical Control Data

Improving contour accuracy is one of the significant goals of industrial machining. This paper proposes a contour error estimation and compensation algorithm for five-axis computer numerical control (CNC) machine tools based on modified numerical control (NC) codes. The expected path analyzed by NC...

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Veröffentlicht in:Machines (Basel) Jg. 11; H. 1; S. 85
Hauptverfasser: Li, Jiangang, Yue, Ruijie, Fei, Yiming
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.01.2023
Schlagworte:
Accuracy
Algorithms
Approximation
Compensation
Contours
Control algorithms
Control data (computers)
Error analysis
Five axis
five-axis contour control
hidden Markov-based spatial contour mapping
hybrid contour error estimation
Industrial applications
Iterative methods
Kinematics
Machine tools
Markov chains
Methods
Numerical controls
Precision machining
spatial iterative learning control
Trajectory planning
ISSN:2075-1702, 2075-1702
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Zusammenfassung:Improving contour accuracy is one of the significant goals of industrial machining. This paper proposes a contour error estimation and compensation algorithm for five-axis computer numerical control (CNC) machine tools based on modified numerical control (NC) codes. The expected path analyzed by NC data and the actual trajectory collected by sensors are spatially mapped by the hidden Markov model (HMM). Next, an evaluation function that hybrids the tool tip position and tool orientation change trend is proposed as the index of contour error estimation. Finally, spatial iterative learning control (ILC) is used to compensate the contour error, and high-precision machining instructions are obtained after multiple iterations. Experiments with different trajectories are performed on a five-axis platform to verify the proposed algorithm’s effectiveness. The results show that the proposed algorithm without using planned trajectories, has the same good control effect as traditional methods, which must know the planning trajectory for simple trajectories. At the same time, the method proposed in this paper has better performance than existing algorithms based on tool tip position nearest principle at sharp corners. In conclusion, on the basis of not depending on the planning trajectories, this method has a better compensation effect for the overall accuracy of trajectories and is easier to implement in industrial applications.
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ISSN:2075-1702
2075-1702
DOI:10.3390/machines11010085