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Robust Feedback Control for the Subsidy Policy about Plug‐In Electric Vehicle Using Sliding Mode Control
Author(s) -
Sakamoto Noriaki,
Niimura Takahide,
Ozawa Kazuhiro,
Takamori Hiroshi
Publication year - 2016
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.22773
Subject(s) - subsidy , plug in , control (management) , sliding mode control , mode (computer interface) , control logic , control theory (sociology) , charge control , set (abstract data type) , engineering , electric vehicle , computer science , control engineering , economics , nonlinear system , artificial intelligence , market economy , power (physics) , battery (electricity) , quantum mechanics , computer hardware , programming language , operating system , physics
SUMMARY This paper deals with robust feedback control for the subsidy policy for the purchase of plug‐in electric vehicles (EVs) and the business model of charging stands. The controlled model has three characteristics: (1) A public institution builds the charge stands. (2) The break‐even point is calculated by thinking about the maintenance cost and running cost. (3) The set value for the number of EV deployed is given. However, the model has uncertainties of parameters, is altered by the influence of the economy, and so on. Therefore, it is necessary to apply robust control logic that overcomes the uncertainties of the model. We propose that the practice of the subsidy policy is regulated by feedback control. As the control logic, we use sliding mode control. The simulation results show the advantages to a person planning an EV purchase and to the charge stand manager, and demonstrate that sliding mode control is a control logic that is effective in the social model.