Research on Parameter Tuning Method for Numerical Control AC Servo Control System

Abstract:

Equipment manufacturing industry is an important factor to measure a country's comprehensive national strength. The servo control technology is one of the core technologies of numerical control systems and motion control, as well as an important part of the equipment manufacturing. This paper, on the basis of motion control, studies the development status of servo control home and abroad and analyzes in-depth the various components of the AC servo control system and the parameter confirmation of the controller. It discusses the approximate processing on control system and simplification of passing functions and uses the best second-order tuning to set the project for the current loop Pl adjustment device, simplifying the current loop into an inertia link.

• Periodical: Applied Mechanics and Materials (Volume 192)
• Pages: 375-379
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.192.375
• Online since: July 2012
• Authors: Hong Zheng
• Keywords: AC Servo Control System, Method, Numerical Control (NC), Parameter Tuning

References

[1] Chao Ou, Weixing Lin. Comparison between PSO and GA for Parameters Optimization of PID Controller. Proceedings of the 2006 IEEE, International Conference on Mechatronics and Automation, June 25-28, 2006, Luoyang, China.

DOI: 10.1109/icma.2006.257739

[2] Li Yong, Duan Zhengcheng, Hu Lunji, Optimization for PID Control Method on Hydraulic Servo Control System Based on PSO, Machine Tool & Hydraulics, 2007(5):27-129.

[3] Zhang Xinghua, Li Wei, Zhou Liuxi, Partical Swarm Optimization Algorithms for Parameter Tuning of PID Controller, Computer Engineering and Applications, 2007, 43(33), 227-229.

[4] Hynek Proch azka, Michel Gevers, Brian D.O. Anderson. Iterative Feedback Tuning for Robust Controller Design and Optimization, Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, 2005.

DOI: 10.1109/cdc.2005.1582721

[5] Mo Yuanbin, Chen Dezhao, etc. Improved Complex Method of Optimization Algorithms Based on PSO, Proceedings of the 11th National Conference (Rudin), Chinese Association for Artificial Intelligence, 2005, 572-576.

[6] Wang Wenping, Optimization Design Based on Genetic Algorithm for Designing Parameters of PID Controller, Automation & Instrumentation, 2008, 13(3):28-30.

[7] Xi Yuzong, Tuning and Optimization of PID Parameters by Genetic Algorithm , Construction & Design for Project, 2005(8), 91-92.