Speed Regulation Enhancement for SRM Drive in PHEV Applications by using Hybrid Fuzzy Logic controller
A.S. Veerendra1, M.R. Mohamed2, M.H. Sulaiman3, K. Peddakapu4, K. Sudhakar5, Sreenath sukumaran6
1A. S. Veerendra, Sustainable Energy & Power Electronics Research (Super) Cluster University Malaysia, Pahang, Malaysia.
2M.R. Mohamed, Sustainable Energy & Power Electronics Research (Super) Cluster, University Malaysia, Pahang, Malaysia.
3M.H. Sulaiman, Sustainable Energy & Power Electronics Research (Super) Cluster University Malaysia, Pahang, Malaysia.
4K. Peddakapu, Sustainable Energy & Power Electronics Research (Super) Cluster University Malaysia, Pahang, Malaysia
5K. Sudhakar, Energy Center, MANIT, Bhopal.
6Sreenath sukumaran, Sustainable Energy & Power Electronics Research (Super) Cluster University Malaysia, Pahang, Malaysia.
Manuscript received on 08 March 2019 | Revised Manuscript received on 14 March 2019 | Manuscript published on 30 July 2019 | PP: 526-533 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1590078219/19©BEIESP | DOI: 10.35940/ijrte.B1590.078219
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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: Speed regulation enhancement of a Switched Reluctance Motor (SRM) Driveby using modularfront-endintegrated multilevel converter for plug-in hybrid electric vehicle (PHEV) applications are studied and evaluated in this paper. Theoperating modes of the system are basing on Turn-On &Turn OFF of the switches in the converter circuit. In order to achievefast demagnetization and excitation, during generator driving mode, the battery bank is used to elevate the phase voltage. To get the multiple voltage responses and torque increment, an additional charging capacitor and a reframed four-level structure from the converter during battery driving mode is required. A hybrid Fuzzy Logic Controlleris proposedin orderto control the speed of the SRM motor. This paper mainly focuses on the comparison of the hybrid fuzzy logic controller with conventional P & PI and to prove the proposed controller provides the best performance and high robustness compared to a conventional P & PI controller. Matlab / Simulink is used to simulate.
Keywords: Hybrid Fuzzy Logic Controller, P & PI Controller Integrated Multi-Level Converter, Electric Vehicles (EVs), Hybrid EVs (HEVs), Switched Reluctance Motors (SRMs).
Scope of the Article: Fuzzy Logic