A fully real-time spline interpolation algorithm with axial jerk constraint based on FIR filtering
文献类型：期刊论文
| 作者 | Song, De-Ning2; Ma, Jian-Wei1; Zhong, Yu-Guang2; Xiao, Dan3; Yao, Jian-Jun2; Zhou, Chao2
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| 刊名 | INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
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| 出版日期 | 2021-04-01 |
| 卷号 | 113 |
| 关键词 | Feedrate scheduling Spline interpolator Finite-impulse-response filtering Kinematic constraint |
| ISSN号 | 0268-3768 |
| DOI | 10.1007/s00170-021-06738-8 |
| 通讯作者 | Song, De-Ning(songdening@hrbeu.edu.cn) |
| 英文摘要 | Interpolators play a core and important role in CNC systems, and the scheduling of feedrate is a main task of CNC interpolators. It is routine to schedule the feedrate of linear/circular toolpaths because of their regular geometry; however, the feedrate scheduling of spline toolpaths remains challenging due to the freely and unpredictable geometric shape. Most of the existing methods require looking ahead or pre-processing to acquire sufficient toolpath information for generating drive-bounded smooth feedrate profile, which limits the integral machining efficiency. This paper presents a FIR (finite impulse response) filtering-based interpolation algorithm for spline toolpath, thus realizing the fully real-time capability without using time-consuming optimization such as looking ahead or pre-processing. The presented method merely utilizes the curvature radius information of the current interpolation point on the spline toolpath, and the scheduled feedrate can be generated within one step. Furthermore, the global tangential smoothness of the feedrate profile is guaranteed by directly applying convolution with a chain of two cascaded FIR filters. However, the FIR filtering induces interpolation error which plays as a negative cost during the one-step feedrate scheduling. To solve this issue, the principle of the filtering induced error is analyzed, so that it is computed by feed parameters and curvature radius, and the maximum error is added as an extra constraint beyond the commonly considered axial kinematic constraints. Effectiveness of the presented approach is demonstrated by both numerical illustration and experimental tests. |
| 资助项目 | National Nature Science Foundation of China[52005121] ; China Postdoctoral Science Foundation[2020M681076] ; Postdoctoral Science Foundation of Heilongjiang Province[LBH-Z20048] ; Fundamental Research Funds for the Central Universities[3072020CF0701] |
| WOS研究方向 | Automation & Control Systems ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000618170100002 |
| 出版者 | SPRINGER LONDON LTD |
| 资助机构 | National Nature Science Foundation of China ; China Postdoctoral Science Foundation ; Postdoctoral Science Foundation of Heilongjiang Province ; Fundamental Research Funds for the Central Universities |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/120245]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Song, De-Ning |
| 作者单位 | 1.Dalian Univ Technol, Sch Mech Engn, Key Lab Precis & Nontradit Machining Technol, Minist Educ, Dalian 116024, Peoples R China 2.Harbin Engn Univ, Coll Mech & Elect Engn, Harbin 150001, Peoples R China 3.Chinese Acad Sci, Inst Nucl Energy Safety Technol, Hefei 230031, Peoples R China |
| 推荐引用方式 GB/T 7714 | Song, De-Ning,Ma, Jian-Wei,Zhong, Yu-Guang,et al. A fully real-time spline interpolation algorithm with axial jerk constraint based on FIR filtering[J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY,2021,113. |
| APA | Song, De-Ning,Ma, Jian-Wei,Zhong, Yu-Guang,Xiao, Dan,Yao, Jian-Jun,&Zhou, Chao.(2021).A fully real-time spline interpolation algorithm with axial jerk constraint based on FIR filtering.INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY,113. |
| MLA | Song, De-Ning,et al."A fully real-time spline interpolation algorithm with axial jerk constraint based on FIR filtering".INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 113(2021). |
入库方式： OAI收割
来源：合肥物质科学研究院
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