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In this paper, we show some experimental results of a proposed distance estimator based on the received signal strength indicator. We provide a fact that the proposed estimator outperforms the conventional one with respect to a theoretical analysis, computer simulations and experimental results.
This paper describes the design of a control strategy for robotic rehabilitation devices, aimed at recovering the motor skills of patients affected by particular diseases that damage the neuromuscular apparatus of the human body. There are two different but related activities in the project here described. At first, a non-linear parameter identification procedure, based on the Recursive Least Square...
Gyro-less attitude and angular rate estimations are of great importance in small, low-cost spacecraft, where high performance gyroscopes are not available due to multiple limitations. Recent development of accurate, high-bandwidth attitude sensors such as high data-rate star trackers, makes this approach implementable. The gyro-less estimator propagates the estimated states by nonlinear attitude dynamics...
The accurate estimation of state of health (SOH) of Lithium-ion battery is critical to guarantee safety and reliability of whole system. Large number of researches on SOH have many strict constrained assumptions, such as repeated same load, which differ from real situation. In this paper, the study focus on variable load profile. An artificial neural network is designed to determine the battery SOH...
Estimation of electromagnetic torque using Kalman Filter for sensorless Direct Torque Controlled (DTC) brushless DC (BLDC) motor having trapezoidal back emf is presented in this paper. Predefined voltage vector from an optimal switching table is used for getting faster torque response in comparison to the conventional speed controlled drive with six step PWM technique. Quasi square wave current is...
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...
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