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Frequency Guided Generalized Adaptive Notch Filtering-Tracking Analysis and Optimization

IEEE TRANSACTIONS ON SIGNAL PROCESSING 2015年第22期63卷 6003-6012页

作者： Meller, Michal Gdansk Univ Technol Dept Automat Control Fac Elect Telecommun & Comp Sci PL-80233 Gdansk Poland

Generalized adaptive notch filters (GANFs) are estimators of coefficients of quasi-periodically time-varying systems, encountered e.g., in RF applications when Doppler effect takes place. Current state of the art GANFs can deliver highly accurate estimates of system variations' frequency, but underperform in terms of accuracy of system coefficient estimates. The paper proposes a novel multistage GANF with improved coefficient tracking properties and smaller sensitivity to choice of estimation gains. The processing pipeline consists of three stages. First, a pilot filter computes preliminary frequency estimates. Second, a special linear filter reshapes the pilot frequency estimates. Third, a frequency guided GANF works out final estimates of system coefficients. A nontrivial design of the second stage filter assures that the proposed solution has a considerably better performance than current stage of the art solutions or a simpler two-stage approach consisting of the pilot and the frequency guided filter only.

关键词： Generalized adaptive notch filters estimation algorithms adaptive signal processing

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Cellphone geolocation via magnetic mapping

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AUTOMATICA 2015年 51卷 70-79页

作者： Cui, Yan An, Ruxiao Ariyur, Kartik B. Purdue Univ Sch Mech Engn W Lafayette IN 47907 USA

We develop novel algorithms based on interval analysis with theoretical guarantees, to augment the accuracy of cell phone geolocation by taking advantage of local variations of magnetic intensity. Thus, the sources of disturbances to magnetometer readings caused indoors are effectively used as beacons for localization. We construct a magnetic intensity map for an indoor environment by collecting magnetic field data over each floor tile. We then test the algorithms without position initialization and obtain indoor geolocation to within 2 m while slowly walking over a complex path of 80 m. The geolocation errors are smaller in the vicinity of large magnetic disturbances. Finally, we fuse the magnetometer measurement with inertial measurements on the cell phone to yield even smaller geolocation errors of under 50 cm for a moving user. Our theoretical results connect geolocation accuracy to combinations of sensor and map properties. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Position location Magnetic fields estimation algorithms Interval analysis Multisensor integration

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q-Calculus Based Extended Kalman Filter for the Dynamic State estimation of a Synchronous Generator

q-Calculus Based Extended Kalman Filter for the Dynamic Stat...

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IEEE Innovative Smart Grid Technologies - Asia

作者： Arif Ahmed Fiona Stevens McFadden Ramesh Rayudu Robinson Research Institute & Smart Power and Renewable Energy Systems Group School of Engineering and Computer Science Victoria University of Wellington Wellington 6140 New Zealand Robinson Research Institute Victoria University of Wellington Wellington 6140 New Zealand Smart Power and Renewable Energy Systems Group School of Engineering and Computer Science Victoria University of Wellington Wellington 6140 New Zealand

ISBN: (纸本)9781509052288

The evolution of power systems into smart systems requires complex, efficient, and effective algorithms for control and optimization of the system. With this motivation, we propose and study a novel extended Kalman filter (EKF) algorithm utilizing q-calculus for the real-time dynamic state estimation (DSE) problem for synchronous generators. A 4th order nonlinear synchronous generator model is studied for DSE. Two distinct cases were looked into, one involving normal simulation and the other involving short circuit fault simulation. The observed advantages of the proposed algorithm are faster convergence and better mean-square-error (MSE) performance. As a further advantage, utilization of q-calculus also introduces a tunable q-parameter into the EKF algorithm. The DSE problem is studied under in an environment of Gaussian noise and compared with the traditional EKF. Further research work is suggested involving comparison with other DSE algorithms and in-depth analysis of the algorithm.

关键词： Dynamic state estimation Q-calculus extended Kalman filter Synchronous generator estimation algorithms

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MULTISTAGE GENERALIZED ADAPTIVE NOTCH FILTER WITH IMPROVED ACCURACY 23

MULTISTAGE GENERALIZED ADAPTIVE NOTCH FILTER WITH IMPROVED A...

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23rd European Signal Processing Conference (EUSIPCO)

作者： Meller, Michal Gdansk Univ Technol Fac Elect Telecommun & Comp Sci Narutowicza 11-12 PL-80233 Gdansk Poland

ISBN: (纸本)9780992862633

Generalized adaptive notch filters (GANFs) are estimators of coefficients of quasi-periodically time-varying systems. Current state of the art CIANFs can deliver highly accurate estimates of system variations' frequency, but underperfonn in terms of accuracy of the coefficient estimates. The paper proposes a novel multistage GANF with accuracy improved in this aspect. The processing pipeline consists of three stages. The preliminary (pilot) frequency estimates are obtained first, then treated with a specially designed linear filter and used to guide the coefficient tracking GANF, which works out the estimates of system coefficients. The proposed solution has considerably better performance than a single stage GANF or a simple two-stage approach consisting of the pilot frequency estimator and the amplitude tracking GANF only.

关键词： generalized adaptive notch filters estimation algorithms adaptive signal processing

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Using combustion net torque for estimation of combustion properties from measurements of crankshaft torque

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CONTROL ENGINEERING PRACTICE 2014年第1期26卷 233-244页

作者： Thor, Mikael Egardt, Bo McKelvey, Tomas Andersson, Ingemar Chalmers Univ Technol Dept Signals & Syst SE-41296 Gothenburg Sweden

Two methods, both based on the concept of combustion net torque, for estimation of combustion properties using measurements of crankshaft torque data are investigated in this work. The first of the proposed methods estimates entire burned mass fraction traces from corresponding combustion net torque traces. This is done by solving a convex optimization problem that is based on a derived analytical relation between the two quantities. The other proposed estimation method estimates the well established combustion phasing measure referred to as 50% burned mass fraction directly from combustion net torque using a nonlinear black-box mapping. The methods are assessed using both simulations and experimental data gathered from a 5-cylinder light-duty diesel engine equipped with a crankshaft torque sensor and cylinder pressure sensors that are used for reference measurements. The results indicate that both methods work well but the method that estimates entire burned mass fraction traces is more sensitive to torque data quality. Based on the experimental crankshaft torque data, the direct combustion phasing estimation method delivers estimates with a bias of less than I CAD and a cycle-to-cycle standard deviation of less than 2.7 CAD for all cylinders. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Internal combustion engines Engine control Engine management estimation algorithms

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State and parameter estimation of state-space model with entry-wise correlated uniform noise

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INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING 2014年第11期28卷 1189-1205页

作者： Pavelkova, Lenka Karny, Miroslav Acad Sci Czech Republic Inst Informat Theory & Automat CR-18208 Prague Czech Republic

Joint parameter and state estimation is proposed for linear state-space model with uniform, entry-wise correlated, state and output noises (LSU model for short). The adopted Bayesian modelling and approximate estimation produce an estimator that (a) provides the maximum a posteriori estimate enriched by information on its precision, (b) respects correlated noise entries without demanding the user to tune noise covariances, and (c) respects bounded nature of real-life variables. Copyright (c) 2013 John Wiley & Sons, Ltd.

关键词： state-space models uncertain dynamic systems bounded noise filtering problems estimation algorithms

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Fractional Order estimation Schemes for Fractional and Integer Order Systems with Constant and Variable Fractional Order Colored Noise

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CIRCUITS SYSTEMS AND SIGNAL PROCESSING 2014年第12期33卷 3861-3882页

作者： Sierociuk, Dominik Ziubinski, Pawel Warsaw Univ Technol Inst Control & Ind Elect Warsaw Poland

The paper presents estimation schemes for discrete fractional and integer order state-space systems with fractional order colored noise. The fractional order colored noise is a generalization of the traditional colored noise (noise with dynamic dependency) for the case when the dynamics of noise is of fractional order. Proposed estimation algorithm additionally uses information about noise dynamics, which allows for obtaining better estimates of state vector. The numerical experiments of estimation integer order system with fractional noise are presented as well.

关键词： estimation algorithms Kalman filters Fractional order systems System noise Colored noise Variable order

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Online stiffness estimation for robotic tasks with force observers

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CONTROL ENGINEERING PRACTICE 2014年第1期24卷 92-105页

作者： Coutinho, F. Cortesao, R. Univ Coimbra Inst Syst & Robot P-3030290 Coimbra Portugal Coimbra Polytech Inst P-3030199 Coimbra Portugal

In this paper we propose an online stiffness estimation technique for robotic tasks based only on force data, therefore, not requiring contact position information. This allows estimations to be obtained in robotic tasks involving interactions with unstructured and unknown environments where geometrical data is unavailable or unreliable. Our technique - the Candidate Observer Based Algorithm (COBA) - uses two force observers, configured with different candidate stiffnesses, to estimate online the actual target object stiffness. COBA is embedded in a force control architecture with computed torque in the task space. The theoretical presentation of the algorithm, as well as simulation tests and experimental results with a lightweight robot arm are also presented. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： Parameter estimation estimation algorithms Force control Observers Telemanipulation

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Evaluation of bias, precision, robustness and runtime for estimation methods in NONMEM 7

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JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS 2014年第3期41卷 223-238页

作者： Johansson, Asa M. Ueckert, Sebastian Plan, Elodie L. Hooker, Andrew C. Karlsson, Mats O. Uppsala Univ Pharmacometr Res Grp Dept Pharmaceut Biosci S-75124 Uppsala Sweden

NONMEM is the most widely used software for population pharmacokinetic (PK)-pharmacodynamic (PD) analyses. The latest version, NONMEM 7 (NM7), includes several sampling-based estimation methods in addition to the classical methods. In this study, performance of the estimation methods available in NM7 was investigated with respect to bias, precision, robustness and runtime for a diverse set of PD models. Simulations of 500 data sets from each PD model were reanalyzed with the available estimation methods to investigate bias and precision. Simulations of 100 data sets were used to investigate robustness by comparing final estimates obtained after estimations starting from the true parameter values and initial estimates randomly generated using the CHAIN feature in NM7. Average estimation time for each algorithm and each model was calculated from the runtimes reported by NM7. The method giving the lowest bias and highest precision across models was importance sampling, closely followed by FOCE/LAPLACE and stochastic approximation expectation-maximization. The methods relative robustness differed between models and no method showed clear superior performance. FOCE/LAPLACE was the method with the shortest runtime for all models, followed by iterative two-stage. The Bayesian Markov Chain Monte Carlo method, used in this study for point estimation, performed worst in all tested metrics.

关键词： Non-linear mixed effect models estimation algorithms FOCE Laplace SAEM Importance sampling

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MULTISTAGE GENERALIZED ADAPTIVE NOTCH FILTER WITH IMPROVED ACCURACY

MULTISTAGE GENERALIZED ADAPTIVE NOTCH FILTER WITH IMPROVED A...

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European Signal Processing Conference

作者： Michal Meller Gdansk University of Technology Faculty of Electronics Telecommunications and Computer Science

ISBN: (纸本)9781479988518

Generalized adaptive notch filters (GANFs) are estimators of coefficients of quasi-periodically time-varying systems. Current state of the art GANFs can deliver highly accurate estimates of system variations' frequency, but underperform in terms of accuracy of the coefficient estimates. The paper proposes a novel multistage GANF with accuracy improved in this aspect. The processing pipeline consists of three stages. The preliminary (pilot) frequency estimates are obtained first, then treated with a specially designed linear filter and used to guide the coefficient tracking GANF, which works out the estimates of system coefficients. The proposed solution has considerably better performance than a single stage GANF or a simple two-stage approach consisting of the pilot frequency estimator and the amplitude tracking GANF only.

关键词： Generalized adaptive notch filters estimation algorithms Adaptive signal processing adaptive signal processing MULTISTAGE Trap Filter linear filters notches Filters highly accurate Adaptive notch filter Coefficients

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