The Research of Servo Motor Control Strategies for the Mobile Gantry Milling Machine

Fang Yuan Li

doi:10.4028/www.scientific.net/AMR.960-961.1237

Paper Titles

Application of Discrete Spectrum Correction Technology for Induction Motor Rotor Fault Diagnosis
p.1207

Dynamic Aggregation Method of Induction Motors Based on Coherent Characteristics
p.1214

Study of Vehicle Power Supply with AC and DC Mixed Output
p.1225

Speed Regulation Analysis of a Magnetic Gear Integrated Permanent Magnet Synchronous Motor Using Finite Element Method Coupled with Vector Control
p.1230

The Research of Servo Motor Control Strategies for the Mobile Gantry Milling Machine
p.1237

Analysis of Sub-Synchronous Oscillation (SSO) Caused by HVDC Transmission System
p.1243

Hall Effect Sensor Based Field Oriented Control of Permanent Magnet Synchronous Machine Using in Electric Vehicle
p.1248

Investigation on Type-4 and Type-11 Mixed Topology of LLC Resonant Converter
p.1254

Study of a Small-Scale Controllable Reactor and Conceptual Design of a 35kV/5Mvar HTS Reactor
p.1258

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 960-961The Research of Servo Motor Control Strategies for...

The Research of Servo Motor Control Strategies for the Mobile Gantry Milling Machine

Abstract:

It is known for the traditional milling machine in operation at low speed and efficiency. This paper describes the research of servo motor control strategies for the mobile gantry milling machine. The principles of AC servo motor dynamics, master-slave servo control, and adaptive-neuro fuzzy inference system based on controller are illustrated. Using these strategies when the master servo motor is interference by the external signal, the reference speed of the slave servo motor can follow just like the master motor. Finally the mechanical coupling can be eliminated and the mechanical damage can be avoided.

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Periodical:

Advanced Materials Research (Volumes 960-961)

Pages:

1237-1240

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.960-961.1237

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Online since:

June 2014

Authors:

Fang Yuan Li

Keywords:

Adaptive-Neuro Fuzzy, ANFIS Architecture, Master-Slave Control, Mobile Gantry Milling Machine, Servo Motor

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References

[1] R.N. Conte, L.F.A. Pereira, J.F. Haffner. Parameters Identification of Induction Machines Based on Frequency Response and Optimization Techniques, [J], The 29th Annual Conference of the IEEE. Vol. 1, November 2003: 596-599.

DOI: 10.1109/iecon.2003.1280047

Google Scholar

[2] Cui Naxin, Zhang Chenghui, Li Ke, Zhang chengjin, Efficiency optimization control of induction motor drives based on online parameter estimation, Transactions of China Electroe Chncal Society, v22, n9, September, 2007: 80-85.

DOI: 10.1109/wcica.2010.5554492

Google Scholar

[3] H. M. Kojabadi, L. Chang, R. Doraiswami. A novel adaptive observer for very fast estimation of stator resistance in sensorless induction motor drives, [J], Proceedings of IEEE 34th Annual Power Electronics Specialist Conference, 2003, 3: 1455-1459.

DOI: 10.1109/pesc.2003.1216801

Google Scholar

[4] Z. Hímer, V. Wertz, J. Kovács, U. Kortela Neuro- fuzzy model of flue gas oxygen content Proccedings of IASTED International Conference on Modelling Identification and Control, Grindelwald, Switzerland (2004).

DOI: 10.1016/s1474-6670(17)30861-3

Google Scholar