Topic
Alpha beta filter
About: Alpha beta filter is a research topic. Over the lifetime, 5653 publications have been published within this topic receiving 128415 citations.
Papers published on a yearly basis
Papers
More filters
TL;DR: This work compared the performance of a new technique, the unscented filter, with that of the extended Kalman filter, and found the unscenceed filter produced better results without performing potentially ill-conditioned numerical calculations and linearly approximating the evolution of the state vector covariance.
167 citations
TL;DR: In this paper, an extended Kalman filter is proposed to utilize the noise that is already present at the connection point of the power converter to overcome the need of active disturbance injection to estimate the equivalent grid impedance.
Abstract: Real-time estimation of the equivalent grid impedance and the equivalent grid voltage seen from a power converter connected to the public electric distribution network by means of extended Kalman filter is addressed. The theoretical background of the extended Kalman filter used for equivalent grid impedance estimation is introduced. Practical aspects like the use of the filter in an environment with highly distorted voltage waveforms, the tuning of the noise covariance matrices, and the implementation on a laboratory system are discussed. The theoretical analysis is verified on a 22-kW test-bench where a grid impedance emulator is used to simulate grid impedance steps in the laboratory environment. The proposed extended Kalman filter is designed to utilize the noise that is already present at the connection point of the power converter to overcome the need of active disturbance injection to estimate the equivalent grid impedance. Thus, electrical equipment connected close to the grid-connected converter is only affected marginally by the equivalent grid impedance estimation technique.
165 citations
TL;DR: In this paper, particle filters based on the sequential Monte Carlo method are used for the estimation task, where a kernel smoothing approach is introduced for the robust estimation of unknown and time-varying model parameters.
165 citations
TL;DR: In this article, a novel adaptive filtering technique is described for a class of systems with unknown disturbances, which includes both a self-tuning filter and a Kalman filter, and state estimates are employed in a closed-loop feedback control scheme.
Abstract: -A novel adaptive filtering technique is described for a class of systems with unknown disturbances. The estimator includes both a self-tuning filter and a Kalman filter. The state estimates are employed in a closed-loop feedback control scheme wbich is designed via the usual linear quadratic approach. The approach was developed for application to the dynamic ship positioning control problem and has the advantage that existing nonadaptive Kalman filtering systems may be easily modified to include the self-tuning feature. work was supported b\\l GEC Electrical Projects Ltd., and the United Manuscript received April 21, 1982: revised September 27, 1982. This Kingdom Science and Engineering Research Council. P. T.-K. Fung \\vas with the Department of Electrical Engineering, University of Strathclyde, Glasgow, Scotland. He is now with the Space and Electronic Group, Spar Aerospace Ltd.. Weston. Ont.. Canada. vrrsity of Strathclyde. Glasgow, Scotland. M. J. Grimble is with the Department of Electrical Engineering, Uni
164 citations
TL;DR: In this paper, the observer design problem of a wide class of nonlinear systems subjected to bounded nonlinearities is considered and a sufficient Liapunov-like condition is provided.
163 citations