Application Research of Fuzzy Control for AC Motor on the PLC Platform

Article Preview

Abstract:

Due to the strong nonlinearity of the AC motor, it is difficult to obtain satisfied performance by the use of conventional PID control strategy. Self-adaptive control method is therefore needed to tackle with this problem. In this paper, a novel approach of fuzzy control is presented for the AC motor drives based on the PLC platform. The purpose is to enhance the speed control performance of AC motor by means of fuzzy logic. The hardware and software construction of the control system is described, and the fuzzy variables and fuzzy rules of the fuzzy controller are designed. Simulation test results show that the designed speed control system is efficient and reliable for the control of AC motor drives. Good performances such as faster dynamic response, smaller overshoot and higher accuracy compared with traditional PID controller are achieved.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 255-260)

Pages:

2136-2140

Citation:

Online since:

May 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] C. Loredana, L. Massimo, M. Antonello, and P. Ferdinanda, A neurofuzzy application for AC motor drives monitoring system, IEEE Transactions on Instrumentation and Measurement, 2004, Vol. 53, No. 4, pp.1020-1027.

DOI: 10.1109/tim.2004.830589

Google Scholar

[2] S.H. Huh, J.H. Park, I. Choy, and G.T. Park, Nonlinear uncertainty observer for AC motor control using the radial basis function networks, IEE Proceedings: Control Theory and Applications, 2004, Vol. 151, No. 3, pp.369-375.

DOI: 10.1049/ip-cta:20040482

Google Scholar

[3] B. Samira, N. Rachid, Z. Fatiha, and N. Mohamed-Said, Fuzzy fault tolerant control of an induction motor, International Journal of Modelling, Identification and Control, 2008, Vol. 4, No. 2, pp.160-167.

DOI: 10.1504/ijmic.2008.021093

Google Scholar

[4] A. Sant, PM synchronous motor speed control using hybrid fuzzy-PI with novel switching functions, IEEE Transactions on Magnetics, 2009, Vol. 45, No. 10, pp.4672-4675.

DOI: 10.1109/tmag.2009.2022191

Google Scholar

[5] C. Xia, C. Guo, T. Shi, A neural-network-identifier and fuzzy-controller-based algorithm for dynamic decoupling control of permanent-magnet spherical motor, IEEE Transactions on Industrial Electronics, 2010, Vol. 57, No. 8, pp.2868-2878.

DOI: 10.1109/tie.2009.2036030

Google Scholar

[6] Y. Kung, C. Huang, M. Tsai, FPGA realization of an adaptive fuzzy controller for PMLSM drive, IEEE Transactions on Industrial Electronics, 2009, Vol. 56, No. 8, pp.2923-2932.

DOI: 10.1109/tie.2009.2023638

Google Scholar

[7] D. de A. Souza, W. de A. Filho, G. Sousa, Adaptive fuzzy controller for efficiency optimization of induction motors, IEEE Transactions on Industrial Electronics, 2007, Vol. 54, No. 4, pp.2157-2164.

DOI: 10.1109/tie.2007.895138

Google Scholar

[8] H. N. Nounou, H. Rehman, Application of adaptive fuzzy control to ac machines, Applied Soft Computing Journal, 2007, Vol. 7, No. 3, pp.899-907.

DOI: 10.1016/j.asoc.2006.02.009

Google Scholar

[9] B. Dandil, Fuzzy neural network IP controller for robust position control of induction motor drive, Expert Systems with Applications, 2009, Vol. 36, No. 3 pp.4528-4534.

DOI: 10.1016/j.eswa.2008.05.032

Google Scholar