Abdullah Cakan

PhD, Visiting Scholar



Contact

Abdullah Cakan


[email protected], [email protected]


Mechanical Engineering, Konya Technical University

Industrial and Systems Engineering, Virginia Tech




Abdullah Cakan

PhD, Visiting Scholar


[email protected], [email protected]


Mechanical Engineering, Konya Technical University

Industrial and Systems Engineering, Virginia Tech



Modeling and Controller Comparison for Quarter Car Suspension System by Using PID and Type-1 Fuzzy Logic


Journal article


Abdullah Çakan, F. M. Botsali, M. Tinkir
2014

Semantic Scholar DOI
Cite

Cite

APA   Click to copy
Çakan, A., Botsali, F. M., & Tinkir, M. (2014). Modeling and Controller Comparison for Quarter Car Suspension System by Using PID and Type-1 Fuzzy Logic.


Chicago/Turabian   Click to copy
Çakan, Abdullah, F. M. Botsali, and M. Tinkir. “Modeling and Controller Comparison for Quarter Car Suspension System by Using PID and Type-1 Fuzzy Logic” (2014).


MLA   Click to copy
Çakan, Abdullah, et al. Modeling and Controller Comparison for Quarter Car Suspension System by Using PID and Type-1 Fuzzy Logic. 2014.


BibTeX   Click to copy

@article{abdullah2014a,
  title = {Modeling and Controller Comparison for Quarter Car Suspension System by Using PID and Type-1 Fuzzy Logic},
  year = {2014},
  author = {Çakan, Abdullah and Botsali, F. M. and Tinkir, M.}
}

Abstract

Ensuring vehicle drive comfort and securing drive safety are the leading topics among the most interested issues for researchers in vehicle dynamics area. In this paper, a method utilizing a linear actuator is proposed for active control of the vehicle vibrations which are caused by road profile, intending to improve drive comfort and safety of road vehicles. The mathematical model belonging to the system that is evaluated as two degrees of freedom quarter car suspension system is derived by using Lagrange Equation of Motion and MATLAB/Simulink software. In addition to modeling technique, dynamic model of proposed system is created in MSC-ADAMS software and it is simulated in both Matlab and Adams programs together. Moreover two different controllers are designed, which are PID and Artificial Neural Network Based Fuzzy Logic (ANNFL) control in order to use in active vibration control simulations. Performances of the designed controllers are examined and the suitability of the designed controllers is studied by comparing their performances in case of using two different road profile functions.





Follow this website


You need to create an Owlstown account to follow this website.


Sign up

Already an Owlstown member?

Log in