Journal of Management Information and Decision Sciences (Print ISSN: 1524-7252; Online ISSN: 1532-5806)


Model Predictive Torque Control of Induction Motor Using SVPWM

Author(s): Patidar, A., Sarvate, D., & Nimonkar, Y

Induction motor and its controlling techniques proposed by various researchers, but each technique contain some of common problem such as high torque ripple and variable switching frequency at low-speed region. Breakthrough in this controlling research adopted while using Conventional MPTC method, which suffers from complexity and time compensation problems. This paper proposes a Model Predictive Torque Control (MPTC), which eliminates the control complexity, by using SVPWM as cost function minimization technique. This new method eliminates the requirement of time delay compensation, which simplified the prediction model in Model Prediction Control Algorithm. Experimental result show that improved switching instant effectively reduces the torque and flux ripple in proposed MPTC.

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