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Abstract

A hybrid drive and control technique is proposed for high-speed motorized spindle system. The proposed control technique enjoys the advantages of vector control and direct torque control and avoids the implementation difficulties of the two control methods. In particular, the control system includes an optimized switching table based on adaptive fuzzy neural network control which can prevent the system from the high level of torque ripple and nonsinusoidal current waveforms. A simulation model of the spindle’s hybrid drive and control system is constructed in MATLAB/Simulink, and then the related experiments are carried out on a high-speed motorized spindle whose rated speed is 15,000 r/min. The simulation and experimental results reveal that the proposed model and technique are correct and the model has excellent dynamic and static performance.

Keywords

Motorized spindle vector control direct torque control fuzzy neural network

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References

Blaschke

. A new method for the structural decoupling of A.C. induction machines. In: IFAC symposium, Duesseldorf, October 1971. New York: Elsevier.

Depenbrock

. Direct self-control (DSC) of inverter-fed induction machine. IEEE T Power Electr 1988; 3(4): 420–429.

Le-Huy

. Comparison of field oriented control and direct torque control for induction motor drives. In: IEEE-IAS conference record, vol. 2, Phoenix, AZ, 3–7 October 1999, pp.1245–1252. New York: IEEE.

Telford

Dunnigan

Williams

BWA

. Comparison of vector control and direct torque control of an induction machine. In: PESC 31st annual conference, vol. 1, Galway, 18–23 June 2000, pp.421–426. New York: IEEE.

Casadei

Profumo

Serra

. FOC and DTC: two variable schemes for induction motors torque control. IEEE T Power Electr 2002; 17(5): 779–787.

Rajashekara

. Propulsion system strategies for fuel cell vehicles. In: SAE 2000 World Congress, Detroit, MI, 6–9 March 2000, SAE technical paper no. 2000-01-0369. Warrendale, PA: SAE.

Belhadj

Slama-Belkhodja

Pietrzak-David

. Direct torque control of induction machine with a short-time computing observer. Electromotion 2003; 10: 449–454.

De Doncker

Profumo

Pastorelli

. Comparison of universal field oriented (UFO) controllers in different reference frames. IEEE T Power Electr 1995; 10(2): 205–213.

Pandya

Chatterjee

. Torque ripple minimization in direct torque control based IM drive part-I: single-rate control strategy. In: POWERCON: IEEE power India conference: joint international conference on power system technology, New Delhi, India, 12–15 October 2008, pp.1–8. New York: IEEE.

10.

Chen

Kang

. Dynamic performance analysis of high speed motorized spindle under speed sensor-less vector control. Chin J Mech Eng 2010; 46(7): 96–101.

11.

Zhang

Wang

. Design study of direct torque control speed regulating system for high-speed motorized spindle based on PMAV2. J Shenyang Jianzhu Univ Nat Sci 2006; 22(4): 691–695.

12.

Vaez-Zadeh

Jalali

. Combined vector control and direct torque control method for high performance induction motor drives. Energ Convers Manage 2007; 48(12): 3095–3101.

13.

Sun

. A new mixed control strategy for induction motor drives. Adv Tech Electr Eng Energ 2005; 24(1): 40–45.

14.

Wang

Xia

Yang

. Motor modern control technology. Beijing, China: China Machine Press, 2006.

15.

Chen

Liu

Dai

. Novel direct torque control of PMSM based on expected voltage space vector modulation. Electr Mach Control 2009; 13(1): 40–46.

16.

Lin

C-K

. Radial basis function neural network-based adaptive critic control of induction motors. Appl Soft Comput 2011; 11: 3066–3074.

17.

Lin

F-J

Wai

R-J

. Adaptive fuzzy-neural-network control for induction spindle motor drive. IEEE T Energy Conver 2002; 17(4): 507–513.

18.

Lin

F-J

J-C

Tzeng

M-S

. Sensorless induction spindle motor drive using fuzzy neural network speed controller. Electr Pow Syst Res 2001; 58: 187–196.

19.

Zhou

Shan

. Modeling and simulation of combined vector control and direct torque control for high-speed motorized spindles. J Mech Res Appl 2012; 3: 65–68.

The research on hybrid drive and control technique of high-speed motorized spindle based on adaptive fuzzy neural network control

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