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The Anti-lock braking system has been a subject of constant research since its inception. Numerous control strategies have been developed for the same but the effect of measurement noise on the system is often neglected. This paper aims to discuss use of an Extended Kalman Filter for sensor noise elimination. Conventional control strategies in conjunction with this filtering technique are used to...
The Kalman filter is a recursive estimator for a linear dynamic system with uncorrelated white process and measurement noises. In this paper, we consider the problem of unbiased minimum-variance functional estimation for linear discrete-time stochastic systems. The proposed method is based on multirate sampling of plant output. The necessary and sufficient conditions for the existence of the functional...
In order to realize fast and stable passive location and tracking by a single non-moving observer, an improved Unscented Kalman Filter (UKF) algorithm based on Rauch-Tung-Striebel smoother (RTSS) is presented and an explicit analysis of its location performance is made. The proposed algorithm smoothes the previous state vector and covariance matrix by RTTS using the current filtering results, and...
The use of extended Kalman filter (EKF) as a velocity and position nonlinear observer for synchronous motors is a mature research topic. Notwithstanding, the application of EKF in the aircraft domain is still restricted due to the complexity of the systems. This paper presents a study for using an EKF to estimate the position and speed of a brushless exciter synchronous starter/generator in electrical...
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