Fuzzy-Logic Method and Sliding-Mode Control for Induction Motor
M. Sangeetha1, M. Jasmine2, S. Philomina3
1M.Sangeetha, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
2M.Jasmine, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
3S.Philomina, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
Manuscript received on 14 September 2019 | Revised Manuscript received on 23 September 2019 | Manuscript Published on 10 October 2019 | PP: 423-427 | Volume-8 Issue-6S2, August 2019 | Retrieval Number: F11190886S219/19©BEIESP | DOI: 10.35940/ijeat.F1119.0886S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Direct torque control (DTC) is known to generate fast and robust control for induction motor drives. Even though, in classical DTC, there exists a notable ripple in torque and flux during steady state, which can be reflected towards the speed response and generating undesirable acoustic noise. This paper introduces two approaches based on variable structure control (VSC) and fuzzy logic control (FLC) to mitigate steady state chattering problem while preserving the merits of DTC operation. The inverter is controlled directly on the basis of stator flux and the torque errors, by selecting most appropriate voltage vector from switching logic table. A comparative study is performed for the three control topologies including conventional DTC and simulation results are presented and discussed. It is concluded that SMC and intelligent control based technique provide better characteristics in steady state operation with regards to the conventional DTC.
Keywords: Induction Motor Drives, Direct Torque Control (DTC), Sliding Mode Control (SMC), Fuzzy Logic Control (FLC).
Scope of the Article: Fuzzy Logics