Open Access
THE DIFFERENT ADAPTIVE ALGORITHMS FOR ACTIVE VIBRATION CONTROL OF AUTOMOTIVE COMPONENT
Author(s) -
Akash Bharate,
R. G. Desavale
Publication year - 2020
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2020.v05i05.012
Subject(s) - automotive industry , component (thermodynamics) , computer science , active vibration control , vibration , control engineering , algorithm , vibration control , engineering , acoustics , physics , aerospace engineering , thermodynamics
Modern control applications are becoming increasingly important in the area of vehicle ride and comfort. An attractive application in this area is to use of active vibration control (AVC). Many of the unwanted vibrations provides discomfort to operator of automobile. The vibrations also affect to the human and structure. The vibration contains wide range of frequencies which are difficult to control. There are different ways to control these active vibrations such as shunt damping and adaptive algorithms. In present Study, the different adaptive algorithms such as Filtered x Least Mean Square (Fx-LMS), Normalized Least Mean Square (NLMS), Feedback Least Mean Square, two weighted notch FxLMS was studied for vibration control and system identification. The comparative study of these algorithms gives the different-different advantages and disadvantages. Among these algorithms the NLMS algorithm was very useful for system identification and two weighted notch Fx-LMS was useful for Control Logic. Keywords— Active Vibration control, Fx-LMS, NLMS, Adaptive Algorithm, Feedback LMS, Signal processing.