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  • 标题:SPEED SYNCHRONIZATION OF SOFT SWITCH GEAR TRANSMISION FOR HYBRID CAR BASED ON PID FUZZY SELF-TUNING
  • 本地全文:下载
  • 作者:DEDID CAHYA HAPPYANTO
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2015
  • 卷号:71
  • 期号:2
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Hybrid car on the drive system used in the study are two types of driving three phase induction motors and the Internal Combustion Engine (ICE) as a backup drive. On the second drive system is required movement drive transmission soft transition during the both movement of the drive. Therefore, techniques are required to control the electronic switch gear in the car drive transmission equipment. The control technique used is the PID Fuzzy control to synchronize the speed of the both the rotation speed driver, so that the resulting movement of the soft transmission electronic switch gear in the transmission. This step is done by setting the rotation speed of the ICE as a master and motor rotation speed as a slave, because the electric motor setup easier than setting ICE, so that adjusts the transmission shift is the speed of the electric motor. At the time of transfer will be an adjustment speed transmission electric motor and speed the ICE, then when synchronization is achieved with PID Fuzzy control techniques with modeling algorithms then proceed to shift the transmission. Prime mover is an electric motor car, but when the battery power is weak then the mover will make the shift the transmission into drive ICE. During Mover ICE work going through the generator will be charging current to the battery is fully charged then moved again to the transmission of electric motor drive, and so on. To get a better sync speed both mover speed then using the PID Fuzzy Self-Tuning control technique. The results show that the control PID Fuzzy appropriate when applied to the hybrid car because it has fast response and good autotuning on any change of mover car speed.
  • 关键词:Three-Phase Induction Motors; Pid Fuzzy Self-Tuning; Electronic Switch Gear; Autotuning
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