Title :
Vehicular Suspension Controller Based on Adaptive Neuro Fuzzy Inference System
Author :
Pathan, Mannjurkha M. ; Deshmukh, A.Y.
Author_Institution :
G.H. Raisoni Coll. of Eng., Nagpur, India
Abstract :
Looking towards the market providing the luxurious comfort to the passengers in the vehicle, the suspension system plays an important role. To design the a controller for suspension system is very important for improving road handling quality of vehicle and riding comfort of passenger. In this paper a mathematical model is given for proposed suspension system. The detail literature review has been done and provided. The active suspension system has a great performance for vibration control but one of the drawback of this system that it consumes high energy. This drawback has been solved by providing the facility to convert the vibration energy that produced because of road surface profile to useful electrical energy to reduce the energy consumption. The application of adaptive Adaptive Neuro Fuzzy Inference System for proposed system has been justified in this paper.
Keywords :
adaptive control; fuzzy neural nets; fuzzy reasoning; mechanical engineering computing; quality management; road vehicles; suspensions (mechanical components); vibration control; active suspension system; adaptive neuro fuzzy inference system; controller design; electrical energy; energy consumption reduction; mathematical model; passenger riding comfort; road handling quality improvement; road surface profile; vehicular suspension controller; vibration control; vibration energy conversion; Adaptation models; Control systems; Fuzzy logic; Mathematical model; Roads; Suspensions; Vehicles; ANFIS; ARM controller; FPGA; Nonlinear system; Suspension system;
Conference_Titel :
Emerging Trends in Engineering and Technology (ICETET), 2013 6th International Conference on
Conference_Location :
Nagpur
Print_ISBN :
978-1-4799-2560-5
DOI :
10.1109/ICETET.2013.37
