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Grey Wolf Optimizer Based Predictive Torque Control for Electric Vehicle Applications
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| Author(s) |
ALI DJERIOUI |
| Abstract |
In this paper, an improved Predictive Torque Control (PTC) of a PMSM based on Grey Wolf Optimizer (GWO)is developed for smooth torque operation in electric vehicle applications (EVs). The fuel cell presents the mainsource and it is complemented with a quick power source (supercapacitors). The embedded Grew Wolfoptimizer is used to solve the torque tracking tasks with minimal oscillations at low speed operation of PMSMdrive. The new PTC algorithm can successfully ensure smooth time evolution of the torque and the speed. Thedesign methodology is detailed and the provided simulation results show that the proposed PTC-GWO can beimplemented in simulink, offering high performance in both steady and transient states of the PMSM drives evenat low speed range. |
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| Filename: | 0588-epe2020-full-12320836.pdf |
| Filesize: | 622.1 KB |
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| Type |
Members Only |
| Date |
Last modified 2021-01-18 by System |
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