Programs
- M. Tech. in Automotive Engineering -
- B. Sc. Clinical Nutrition, Dietetics, and Food Science - Undergraduate
Publication Type : Conference Paper
Publisher : Procedia Computer Science, Elsevier B.V.
Source : Procedia Computer Science, Elsevier B.V., Volume 115, p.2-13 (2017)
Abstract : The suspension system helps to enhance the ride quality, steering stability, passenger comfort and NVH. In this paper, using a half car active suspension model with 4 Degrees Of Freedom (4 DOF) the controllers such as Proportional Integral Derivative, Linear Quadratic Regulator, Fuzzy and Adaptive Neuro Fuzzy Inference System (ANFIS) are designed using MATLAB-Simulink. The response of these controllers has been analysed using the random road profile (ISO 8608) against the conventional passive suspension system. The results indicate that ANFIS based controller performs better on the parameters 'Settling Time' and 'Amplitude' of the road disturbances, compared with other controllers. © 2017 The Author(s).
Cite this Research Publication : P. Gandhi, Adarsh, S., and Dr. K. I. Ramachandran, “Performance Analysis of Half Car Suspension Model with 4 DOF using PID, LQR, FUZZY and ANFIS Controllers”, in Procedia Computer Science, 2017, vol. 115, pp. 2-13.