Title :
Kalman estimator for an Active Suspension System
Author :
Thenmozhi, S. ; Rajeswari, K.
Author_Institution :
Dept. of Electron. & Instrum. Eng., Velammal Eng. Coll., Chennai, India
Abstract :
Kalman estimator is designed to estimate the unmeasurable system states in an Active Suspension System (ASS) in two modes. In the first mode, the estimated road input is given to the estimator to estimate the state variables. In the second mode, the actual road input is given to the estimator to estimate the state variables. In both the modes, the estimated state variables are compared with actual state variables. From the simulation results, it is concluded that the estimated state variables using Kalman estimator with the actual road input is very close to actual state variables even in the presence of measurement noise.
Keywords :
noise measurement; road vehicles; suspensions (mechanical components); vehicle dynamics; ASS; Kalman estimator; active suspension system; actual road input; actual state variables; estimated road input; estimated state variables; measurement noise; unmeasurable system state estimation; Actuators; Erbium; Optical variables measurement; Springs; Tin; ASS; Kalman estimator; Measurement noise; road input;
Conference_Titel :
Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on
Conference_Location :
Nagapattinam, Tamil Nadu
Print_ISBN :
978-1-4673-0213-5
