Abstract
Variable speed AC Induction motors powered by switching power converters are becoming more and more popular, because of advances in solid state power devices, microprocessors and evaluation of soft computing technique. The most common principle of this kind, is the constant V/Hz principle. By making V/f constant, the magnitude of the magnetic field in the stator is kept at an approximately constant level throughout the operating range So three-phase induction motor drive systems driven by V/f (V/Hz) controlled PWM voltage source inverter have been widely used in the industrial applications. Soft Computing (SC) techniques are recently having significant impact on power electronics and motor drives, which is already a complex and multidisciplinary technology that is going through dynamic evolution in the recent years. Fuzzy Logic, Neural Networks, Neuro-Fuzzy and Evolutionary Computations are the core methodologies of soft computing (SC). In this paper, ANN controller and Fuzzy logic controller has been implemented for speed control of 3-phase induction motor by using soft computing techniques. Out of these two techniques ANN based control takes less settling time and has almost no overshoot. The result of the ANN controller is smoother than the fuzzy logic controller but its output can be improved by tuning it.
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Singh, A.K., Chaturvedi, D.K., Singh, J. (2014). Speed Control of Three Phase Induction Motor Drive Using Soft Computing Technique. In: Pant, M., Deep, K., Nagar, A., Bansal, J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 258. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1771-8_17
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DOI: https://doi.org/10.1007/978-81-322-1771-8_17
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