Open AccessDesign and analysis of a BELBIC controlled semi active suspension system
Author(s) -
Pankaj Sharma,
Vinit Kumar
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1240/1/012017
Subject(s) - sprung mass , settling time , ride quality , control theory (sociology) , controller (irrigation) , suspension (topology) , active suspension , displacement (psychology) , computer science , trigonometric functions , fuzzy logic , engineering , control engineering , step response , automotive engineering , control (management) , mathematics , actuator , artificial intelligence , damper , psychology , agronomy , geometry , homotopy , biology , pure mathematics , psychotherapist
The vehicle dynamics gives lot of consideration to quality of ride and the value of comfort. These two are dependent on the suspension system of the vehicle. Researchers are doing a lot of work in the field of improving these two parameters. A lot of approaches and control systems like ANN, GA based system, fuzzy and hybrid control systems have been formulated, simulated and tested. This paper deals with mathematical modeling and simulation of passive and semi active system. The semi active system modeled here contains a new approach of using intelligent controller based on Brain functioning with emotional signal, known as BELBIC. The use of this controller has not been tested for suspension system as identified through rigorous literature survey. The both systems are simulated for their response to disturbance of road as step function and as profile of cosine shape. The results of passive and proposed semi active system were analyzed to compare their performance in terms of displacement of sprung mass and suspension travel as well as their settling time. The BEL controlled system has performed very good. The displacement of sprung body has been reduced in both the cases of road disturbances. The response against step input is better than cosine. Similarly settling time has also shown in improvement for step and cosine function.