A fuzzy logic sliding mode controlled electronic differential for a direct wheel drive EV

ÖZKOP E., ALTAŞ İ. H., OKUMUŞ H. İ., Sharaf A. M.

INTERNATIONAL JOURNAL OF ELECTRONICS, cilt.102, sa.11, ss.1919-1942, 2015 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 102 Sayı: 11
  • Basım Tarihi: 2015
  • Doi Numarası: 10.1080/00207217.2015.1010183
  • Dergi Adı: INTERNATIONAL JOURNAL OF ELECTRONICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1919-1942
  • Anahtar Kelimeler: fuzzy logic, electrical vehicle, sliding mode control, electronic differential, LINGUISTIC-SYNTHESIS, VEHICLES, SYSTEMS, CONVERTERS, DESIGN, MOTOR
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

In this study, a direct wheel drive electric vehicle based on an electronic differential system with a fuzzy logic sliding mode controller (FLSMC) is studied. The conventional sliding surface is modified using a fuzzy rule base to obtain fuzzy dynamic sliding surfaces by changing its slopes using the global error and its derivative in a fuzzy logic inference system. The controller is compared with proportional-integral-derivative (PID) and sliding mode controllers (SMCs), which are usually preferred to be used in industry. The proposed controller provides robustness and flexibility to direct wheel drive electric vehicles. The fuzzy logic sliding mode controller, electronic differential system and the overall electrical vehicle mechanism are modelled and digitally simulated by using the Matlab software. Simulation results show that the system with FLSMC has better efficiency and performance compared to those of PID and SMCs.

In this study, a direct wheel drive electric vehicle based on an electronic differential system with a fuzzy logic sliding mode controller (FLSMC) is studied. The conventional sliding surface is modified using a fuzzy rule base to obtain fuzzy dynamic sliding surfaces by changing its slopes using the global error and its derivative in a fuzzy logic inference system. The controller is compared with proportional–integral–derivative (PID) and sliding mode controllers (SMCs), which are usually preferred to be used in industry. The proposed controller provides robustness and flexibility to direct wheel drive electric vehicles. The fuzzy logic sliding mode controller, electronic differential system and the overall electrical vehicle mechanism are modelled and digitally simulated by using the Matlab software. Simulation results show that the system with FLSMC has better efficiency and performance compared to those of PID and SMCs.