Application of Adaptive Fuzzy-PID Control in Servo Spindle Rigid Tapping

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Abstract:

Rigid tapping of NC Tapping center is an electromechanical control system which is strongly nonlinear, uncertain and difficult to precise modeling. It is unavoidable to be affected by some nonlinear and uncertain factors such as friction and mechanical resonance. The traditional control method could not fundamentally solve the contradiction between rapid stability and high stable precision of the system response. As an intelligent control method, fuzzy control is actually a kind of PID regulator, and it exists a strong complementary to PID control in the system dynamic and static characteristics. This paper introduced fuzzy adaptive PID control applied to NC rigid tapping in engineering practice, the control method need not to build the controlled object, using mathematical model of fuzzy reasoning method for the online PID parameters auto-tuning, it met the system well for the rapidity and smoothness of comprehensive index requirement and technical realizability, finally through test platform test, numerical control machine tool actual tapping was validated.

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Periodical:

Advanced Materials Research (Volumes 301-303)

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1477-1481

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Online since:

July 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Han Ceng jin: Self- adaptive control system [M], Beijing, China machine press, (1983), p.1.

Google Scholar

[2] ΣV serial servo pack user manual, Published in China, 10(2008), In Chinese.

Google Scholar

[3] Wang Li xin: Fuzzy system and Fuzzy control tutorial, TsingHua university press, (2003).

Google Scholar

[4] Wang N: A fuzzy PID controller for multi-model plants, Proceedings of the First International Conference on Machine Learning and Cybernetics, 11(2002), p.4.

DOI: 10.1109/icmlc.2002.1167436

Google Scholar

[5] Wang Ji fang, Lu Zheng ding: The determine method of membership function in fuzzy control, Henan Science, Vol. 18(2000), p.348.

Google Scholar

[6] Wang Shuyan, Shi Yu, Feng Zhongxu: A Method for Controlling a Loading System Based on a Fuzzy PID Controller, Vol. 30(1) (2011), p.166.

Google Scholar