Open AccessSpeed control of electrical vehicles: a time‐varying proportional–integral controller‐based type‐2 fuzzy logic
Author(s) -
Khooban Mohammad Hassan,
Niknam Taher,
ShaSadeghi Mokhtar
Publication year - 2016
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2015.0033
Subject(s) - control theory (sociology) , fuzzy logic , pid controller , controller (irrigation) , computer science , fuzzy control system , control engineering , mathematics , control (management) , engineering , artificial intelligence , temperature control , agronomy , biology
The control of electrical vehicles (EVs) should be designed robustly and adaptively to improve the system on both dynamic and steady‐state performances, because EV systems are basically time variant (e.g. the operation parameters of EV and the road condition are always varying) that make the operation of controlling an EV difficult. In this study, general type‐2 fuzzy logic sets and the modified harmony search algorithm techniques for adaptive tuning of the most popular existing proportional–integral (PI) controller is integrated in order to address these uncertainties. Although it is computationally expensive to carry out general type‐2 fuzzy systems, it can be examined as a composition of several interval type‐2 fuzzy logic systems with a corresponding level of α for each by using a new plan which is presented, general type‐2 fuzzy set. The controller uses the linguistic rules directly. The achieved results are compared with optimal fuzzy‐PI controller and optimal interval type‐2 fuzzy‐PI controller results which are the most recent researches into in the present issue to evaluate the proficiency of the proposed controller. The simulation results demonstrate the successfulness and effectiveness of the proposed controller.