Volume 9, Issue 2 (6-2019)                   ASE 2019, 9(2): 2977-2990 | Back to browse issues page

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Sharifi J, Vaezi F. Modeling and Identification Based On CAN Network Information in Iranian Cars . ASE 2019; 9 (2) :2977-2990
URL: http://www.iust.ac.ir/ijae/article-1-488-en.html
Electrical and Computer Engineering Department, Qom University of Technology, Qom, Iran
Abstract:   (13865 Views)
    Modeling and identification of the system of Iranian cars is one of the most basic needs of automotive and consumer groups and has a broad role for safe driving. It has happened with speed increasing or changing of shift gear, effects on water temperature or the car's torque has been observed, but how much and how intensely and with what algorithm this effect is identifiable, can be modeled and controlled, because up to now an algorithm that can show these effects during driving has not existed that what reaction should be made by the vehicle when it occurs untimely.
    Identification of each automobile sector lonely has been considered in recent decades, and in some cases, some relationships have been investigated, but from a control point of view, the lack of comprehensive effects of all parts of a car on the other parts is to get an identification algorithm in the automotive industry, and it requires more in-depth studies, because the complexity of the behavior of different parts of the car has made many attempts not fully understandable. Hear it's supposed to control different parameters of Iranian vehicles by using LS estimation and fuzzy logic controller and the simulation is done in Matlab software by storing and validating data of a Dena vehicle through CAN network.
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Type of Study: Review | Subject: Mechatronic systems

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