Simulation of AC drive control for supercapacitor trams based on high-order neural network pattern discrimination algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07548-z.pdf
Reference21 articles.
1. Naseri F, Farjah E, Kazemi Z et al (2020) Dynamic stabilization of DC traction systems using a supercapacitor-based active stabilizer with model predictive control. IEEE Trans Transp Electrif 6(1):228–240
2. Yıldırım D, Akşit MH, Yolaçan C et al (2019) Full-Scale physical simulator of all SiC traction motor drive with onboard supercapacitor ESS for Light-Rail public transportation. IEEE Trans Industr Electron 67(8):6290–6301
3. Zhang G, Li Q, Chen W et al (2020) Synthetic strategy combining speed self-adjusting operation control and adaptive power allocation for fuel cell hybrid tramway. IEEE Trans Industr Electron 68(2):1454–1465
4. Zhang G, Li Q, Chen W et al (2019) A coupled power-voltage equilibrium strategy based on droop control for fuel cell/battery/supercapacitor hybrid tramway. Int J Hydrog Energy 44(35):19370–19383
5. Khodaparastan M, Mohamed AA, Brandauer W (2019) Recuperation of regenerative braking energy in electric rail transit systems. IEEE Trans Intell Transp Syst 20(8):2831–2847
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1. Special issue on 2021 international conference on machine learning and big data analytics for iot security and privacy;Neural Computing and Applications;2022-08-16
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