High-Speed Motorized Spindle Decoupling Optimization Control

Chi Lan Cai; Ya Fei He; Ning Li; Qing Zhi Lin

doi:10.4028/www.scientific.net/AMR.1039.368

Paper Titles

Study of Advanced Process Control Technology and its Application for Ammonia-Based Flue Gas Desulfurization Process
p.338

Tilt Analysis and Control in Climbing Process of Tree-Pruning Robot
p.345

Stable V/F Control of Open Winding Surface Mounted Permanent Magnet Synchronous Motor Drives with SPWM Strategy
p.353

Bidirectional Data Exchange between C++ and Prolog for Robot Task Planning in the Hybrid Control Architecture
p.361

High-Speed Motorized Spindle Decoupling Optimization Control
p.368

Simulation and Optimization Research of the Actuator for Soft-Close Automatic Car Doors
p.376

Optimization Algorithm of Tool Radius Compensation in Fast Tool Servo Machining of Microlens Arrays
p.383

Researched on the Technology of Machining Simulation
p.390

Optimizing Design of Numerical-Controlled Glass Cutter
p.397

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1039High-Speed Motorized Spindle Decoupling...

High-Speed Motorized Spindle Decoupling Optimization Control

Abstract:

High-speed motorized spindle is the core component of the CNC machines. Its dynamic performance directly affects the accuracy of the geometry, and be the root cause of vibration, noise and temperature increase, etc. Its motor control system has the characteristics of nonlinear and strong coupling, which is one of the key R&D items of the spindle design. Based on granular computing, this paper selects the appropriate granularity to analyze the coupling between the motor control parameters and system performance, and propose a zoning decoupling and optimization method to optimize the overall system performance, which has practical application value.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 1039)

Pages:

368-375

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1039.368

Citation:

Cite this paper

Online since:

October 2014

Authors:

Chi Lan Cai*, Ya Fei He, Ning Li, Qing Zhi Lin

Keywords:

Granular Computing, Motor Control, Motorized Spindle, Vector Control

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] X.A. Chen, W.Y. Shan, J.M. Zhou, etc., Summary of research high-speed spindle drive control, J. Of vibration and shock, 2013, 32(8).

Google Scholar

[2] C.Y. Wang, G.K. Xia, Y.B. Yi, Modern motor control technology, China machine press, 2013. 1.

Google Scholar

[3] H.D. Hua, J. Bai, Z.M. Li, Q. Li, AC speed control systems, Publishing house of electronics industry, 2003. 3.

Google Scholar

[4] B. Zhang, Quotient space theory, Journal of Software, 2003, 14 (04): 770-776.

Google Scholar

[5] L. A. Zadeh. Some reflections on soft computing, granular computing and their roles in the conception, design and utilization of information/intelligent systems. Soft Computing, 1998, 2: 23-25.

DOI: 10.1007/s005000050030

Google Scholar

[6] L. A. Zadeh. Towards a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy Sets and Systems, 1997, 19: 111-127.

DOI: 10.1016/s0165-0114(97)00077-8

Google Scholar

[7] L. Zhang, B. Zhang, Quotient Space Based Problem Solving: A Theoretical Foundation of Granular Computing, Tsinghua University Press. Beijing, (2014).

Google Scholar

[8] Z. Pawlak. Rough Sets. Theoretical Aspects of Reasoning About Data. Kluwer Academic Publishers, Dordrecht, (1991).

Google Scholar

[9] Y. Y. Yao, C-J Liau and N. Zhong. Granular computing based on rough sets, quotient space theory, and belief functions. Proceedings of ISMIS'03, 2003: 152-159.

DOI: 10.1007/978-3-540-39592-8_21

Google Scholar

[10] A.E. Fitzgerald, Electric Machinery, Publishing house of electronics industry, (2004).

Google Scholar

[11] R.A. Wang, J.J. Liu, Power Electronics Technology, China machine press, (2011).

Google Scholar