COMPARATIVE AND PERFORMANCE ANALYSIS OF INDUCTION MOTOR WITH ANN CONTROLLER
DOI:
https://doi.org/10.24297/jac.v12i9.4196Keywords:
PI, ANN, Controller, Simulink, Induction motor, Parameter.Abstract
A novel design of an adaptive artificial neural network technique (ANN) for controlling of the essential parameters, like as speed, Â torque, flux, voltage, current, and power etc of the induction motor is presented in this paper. Induction motors are characterized by way of incredibly non-linear, complicated and time-various dynamics and inaccessibility of its states and outputs for measurements. Thus it can be considered as a challenging engineering difficulty in the industrial sector. A few of them, such as PI, fuzzy strategies, Fuzzy logic based controllers are regarded as capability candidates for such application for operating induction motor. Hence of which, the outcome of the controller is also random and high-rated results are probably not obtained. Resolution of the proper rule base application upon the drawback can be achieved by the use of an ANN controller, which becomes a built-in system of method for the manipulate purposes and yields results, which is the focus of this paper. Within the designed ANN scheme, neural community tactics are used to prefer an appropriate rule base, which is utilizing the back propagation algorithm. The simulation outcome provided on this paper is exhibit the effectiveness of the developed approach, which has acquired faster response time or settling times. Additionally, the procedure developed has got a huge number of benefits within the industrial sector will also be converted into a real time application making use of some interfacing cards.Downloads
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References
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[14] Faa-Jeng Lin, and Rong-Jong Wai,"Robust control using neural network uncertainty observer for linear induction motor servo drives", IEEE Trans. On ower Electronics, Vol. 7, No.2, March 2002, pp.241-251. [15] Bose, B.K., “Modern Power Electronics and AC Drivesâ€, Pearson Education, Inc., India, 2002.
[2] Jinjie Huang, Shiyong Li, Chuntao Man, “A TS type of fuzzy controller based on process of input output dataâ€, Proc. of 42nd IEEE Conf. on Decision & Control (CDC‟03), Hawai, USA, pp. 4729-4734. Dec. 2003. [3] Tamer, M.,"PID Control, Implementation and Tuning ",Published by InTech.2011.
[4] Gustavo, M. A., Valceres, V. R., Erivelton, G. N., and Ryuichi Y. ," Application of Genetic Programming for Fine Tuning PID Controller Parameters Designed Through Ziegler-Nichols Technique", ICNC 2005, LNCS 3612, Springer-Verlag Berlin Heidelberg, pp. 313–322, 2005.
[5] M. Perron, H. L. Huy, “Full load range neural network efficiency ptimization of an induction motor with vector control using discontinuous PWM, †in Proc. IEEE Symp. Ind. Electron., vol.1, 2006, pp. 166-170.
[6] Kusagur, A., Kodad, S.F., and SankarRam, B.V.,“AI based design of a fuzzy logic scheme for speed control of induction motors using SVPWM techniqueâ€, Int. Jr. Comp. Sci. & Network Security, Vol. 9, No. 1, pp. 74 -80, 2009.
[7] B. K. Bose, N. R. Patel, K. Rajashekra, “A neuro-fuzzy base on-line fficiency ptimization control of a stator flux oriented direct vector controllrd induction motor drive, †IEEE Trans. Ind. Electron., vol. 44, no. , 1997, pp. 270-273.
[8] Kim T. H., Maruta I., and Sugie T., “Robust PID controller tuning based on the constrained particle swarm optimizationâ€, Automatica, Vol. 44, Issue 4, Apr. 2008, p. 1104 – 1110.
[9] Chong. Lin, Q.G. Wang and T.H. Lee, “Output tracking control for nonlinear via T-S fuzzy model approach, Proc. IEEE Trans. systems. Cybernetics, Vol. 36, No. 2, 2006.
[10] Khiar D., “Robust takagi-sugeno fuzzy control of a spark ignition engineâ€, Control Engg. Practice, 2007.
[11] Ben-BrahimL.,“Improvement of the stability of the V/f controlled induction motor drive systemsâ€, IEEE Proceedings of the 24th Annual Conference, Vol. 2, pp. 859-864, 1998.
[12] J. Li, L. Xu, Z, Zhang, “A new efficiency optimization method on vector control of induction motor, †in Proc. IEEE Conf. Electrical Machines and Drives, 2005, pp. 1995-2001.
[13] Tunyasrirut, S., Suksri,T. and Srilad,S., “Induction Motor using Space Vector Pulse Width Modulationâ€, Proc. of the World Academy of Science, Engineering Fuzzy Logic Control for a Speed Control of And Technology, Vol. 21, pp. 71 - 77, Jan. 2007.
[14] Faa-Jeng Lin, and Rong-Jong Wai,"Robust control using neural network uncertainty observer for linear induction motor servo drives", IEEE Trans. On ower Electronics, Vol. 7, No.2, March 2002, pp.241-251. [15] Bose, B.K., “Modern Power Electronics and AC Drivesâ€, Pearson Education, Inc., India, 2002.
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Published
2016-11-15
How to Cite
S, D., Robinson, Y., & Muthuramalingam, M. (2016). COMPARATIVE AND PERFORMANCE ANALYSIS OF INDUCTION MOTOR WITH ANN CONTROLLER. JOURNAL OF ADVANCES IN CHEMISTRY, 12(9), 4371–4381. https://doi.org/10.24297/jac.v12i9.4196
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