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A tracking simulator is an online simulation system that achieves a permanent state synchronization with the targeted process by dynamically calibrating the model state after comparing process measurements with model results. Tracking simulators are a powerful industrial application that can be utilized as a plant-wide virtual sensor for process monitoring and diagnosis as well as a predictive tool...
In this paper we describe the stages needed to achieve an autonomous stable platform with quadrotor architecture. Based on a commercial frame, we first design and integrate the instrumentation. An Inertial Measurement Unit (IMU), which also has a barometer, is added to the platform and accurately calibrated. The sensor fusion and signal filtering are done based on an Extended Kalman Filter (EKF)....
In this paper, we consider an optimal parameter and state estimation problem arising in an one-dimensional (1D) magnetohydrodynamic (MHD) flow system, whose dynamics can be modeled by a coupled partial differential equations (PDEs). In this model, the coefficients of the Reynolds number and initial conditions as well as state variables are supposed to be unknown and need to be estimated. An adjoint-based...
This paper studies the networked estimation of the state of a linear dynamical system. The focus is on developing a distributed estimation algorithm which could achieve the same performance as the centralized ones. A communication protocol which formally describes the network topology is introduced. By performing this protocol, the sum of the information vector contributions is computed, which is...
The paper utilizes a novel battery model based on the electrical features of LiFePO4 battery, because Kalman filter algorithm(KF) is largely dependent on system model. Measurements of battery state are easily disturbed by colored noise which is high relevance in working condition, and the paper studies that the system noise satisfy one-order AR model. The paper proposes an adaptive extended Kalman...
Aiming at the integrated navigation system with model errors, the model errors is assumed as a process noise for Gaussian white noise to process in Kalman filtering, thus causing larger state estimation error of nonlinear filtering system and even divergent. This paper presents a nonlinear model predictive particle filtering method considers the model error of real-time estimation, and then corrects...
Automatic estimation of symbol parameters plays a prominent role in electronic reconnaissance and electronic warfare systems. How to estimate the code width without prior knowledge is an important problem in modulation recognition. Hilbert transform can effectively extract the instantaneous mutation characteristics of digital communication signals. In this paper, in order to demodulate MPSK underwater...
In this paper, a matrix pencil characteristic equation-based source number estimator is proposed. An enhanced matrix is defined through partition-and-stacking process by the original data on the uniform linear array, and its covariance matrix is computed, which is proved to be a toeplitz conjugate symmetry matrix. The covariance matrix elements are aligned to from a vector. A measurement matrix is...
The estimation of state-of-charge (SOC) is the fundamental technology to improve battery working status and life. But severe external environment, dynamic nonlinearity of battery model, and measurement errors make SOC estimation challengable. In this paper, a multi-strategy probabilities based fusion method is proposed. It can combine the dynamic tracking capability of Proportional-Integral Observer...
In this paper we present a new method for creating polynomial solvers for problems where a (possibly infinite) subset of the solutions are undesirable or uninteresting. These solutions typically arise from simplifications made during modeling, but can also come from degeneracies which are inherent to the geometry of the original problem. The proposed approach extends the standard action matrix method...
This paper presents a new two-step method to estimate the ratios of the moment of inertia, the direction of the angular momentum in inertial frame, the attitude and angular velocity of the space noncooperative tumbling target, based on the measured relative attitude from the servicing spacecraft. At the beginning, the target's body frame should be determined based on its geometrical shapes. In the...
Total number of failures of a software system can help practitioners to have a better understanding of the software quality. In this paper, we propose a model to predict the total number of software failures in a software system by analyzing the failure data from testing using models based on Zipf's law together with the information on code coverage. Failure data and code coverage are combined in...
Electric water heaters have been regarded as a load to be exploited in residential energy management applications due to their potential energy storage capacity. Nevertheless, the implementation of control strategies for water heater systems requires high-performance models which must be capable of reproducing a water heater's internal operation dynamics, especially their inner water temperature variations...
Phase-locked loops (PLLs) are doubtless the most popular synchronization technique in the power converters. Almost all proposed PLL structures known in literature are inherently nonlinear and can be linearized as second order linear time invariant system. Nonlinear nature of PLLs degrades their performances, and question arises if there exist an enhanced PLL structure that would have superior performances...
In this paper, we propose a scheme in which a communication relay unmanned aerial vehicle (UAV) estimates the distribution of the terminals and selects the optimal relay position for autonomous maneuvering. In order to accomplish mission success, warfighters on the battlefield must communicate with their commander all the time. Autonomous maneuvering of a relay UAV using the proposed scheme will support...
This paper presents a new multi-muscle force estimation approach based on a HD-sEMG/force model in experimental context. Accordingly, we will try to estimate the muscle force of the three elbow flexors: Biceps Brachii (BB), Brachialis (BR) and Brachioradialis (BRD) in isometric isotonic conditions. This will be done by using a recently proposed sEMG/force equation model validated by simulation. For...
Fault detection and diagnosis is a research area that has a significant impact due to commercial and industrial implications. The study presented in this paper is based on the idea that mathematical models can be assigned to any processes so, in this context, we have started from the assumption that the fault monitoring and detection in industrial processes could be made using frequency model of the...
This article shows the effects of various parameters like modulation or the radio channel conditions on sea turtles trajectory estimated by terrestrial localization algorithms. This work is part of wireless sensors networks domain in the marine and terrestrial environment in the world of living beings. It allows to identify and understand the parameters that lead to inaccuracies over the sea turtles...
This paper studies a selection of estimation schemes for tracking problems where sensors measure range and Doppler while no directional measurements are provided. The selected estimators are relatives of the Kalman filter where either the state propagation equation or the measurement equation is non-linear. Known schemes are compared with a new filter operating in Cartesian state space. The new filter...
This paper presents the design of Unscented Kalman Filter (UKF) for estimation of state space variables of permanent magnet synchronous machine (PMSM). The UKF is shown together with the field oriented speed control. At first, the position and the speed of PMSM are measured, and UKF is used only for a load torque estimation. It is indicated how differences in sampling time of the speed and the current...
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