The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper describes the development and hardware-in-the-loop testing of an Extended Kalman Filter (EKF) for attitude estimation. After literature review, a multi-mode solution to the estimation problem is introduced. It uses the sensor measurements optimally relying on the magnetic and acceleration data on the ground, and magnetic and GPS data in the air. An emergency aerial mode dealing with lost...
The area aerial defense antimissile multi-sensor system always need to assure to accomplish the mission, and try to enshroud itself possibly at the same time. Therefore, the sensor management system must reduce the use of resource furthest on the premise of meeting the tracking precision, especially reduce the initiative-sensor boot-strap time. According to this purpose, we discuss a sensor management...
In order to reduce oil leakage accidents in transmission process, this system with the advanced algorithm and precise GPRS remote transmission technology, can be in one of the circumstances, automatic completion of leak detection and alarm and troubleshooting.
Location estimation and tracking for the mobile stations have attracted a significant amount of attention in recent years. Moreover, different types of signal sources are considered available to provide the measurement inputs for location estimation and tracking. In this paper, a hybrid unified Kalman tracking (HUKT) technique is proposed to provide an integrated algorithm for precise location tracking...
The unscented Kalman filter (UKF) has become a new technique used in a number of nonlinear estimation problems to overcome the limitation of Taylor series linearization. It uses a deterministic sampling approach known as sigma points to propagate nonlinear systems and has been discussed in many literature. However, a nonlinear smoothing problem has received less attention than the filtering problem...
The localization of mobile robot is an important part of control problem. Pseudolite Ultrasonic System (PUS) is the method to find an absolute position by using ultrasonic sensor. PUS can be able to estimate the position of mobile robot precisely, in which errors are not accumulated. PUS insure a high accuracy on static state. But mobile robot moves as fast as an estimated position errors are increased...
Frequency estimation is a useful technology for analyzing oscillatory phenomena. In these days, there is a demand for rapid and highly accurate frequency estimator. Though various frequency estimation methods have been proposed, most of them can not respond to the demand. An algebraic approach is succeeded in achieving the demand but it requires a lot of multiple integrations due to eliminating differential...
This paper presents the problem of sensor fusion to estimate a walking person position. Simple walking person moving model is introduced. We propose two filtering algorithms to solve the present problem. The first algorithm represents an extended Kalman filter (EKF) model which is based on the principle of the state transition matrix and observation matrix linearization under Taylor series expansions...
This paper describes a method that uses to predict and estimation of the state-of-charge (SOC), instantaneous available power information to very accurately. We proposed a Kalman Filtering based a prediction approach which has been implemented into the microcontroller for the real time dynamic state estimation. This paper we also proposed a Kalman Filter based method that uses dynamic cell model and...
This research aims to study speed sensorless DC motor control using Kalman filter. Kalman filter considers the DC motor mathematical model. The model will start from a continuous state space into a discrete state space form. Inputs of the system are the armature voltage and the armature current with noises. The output of the system is the estimated speed. Kalman filter is used to estimate the speed...
The paper presents the design of a discrete linear quadratic gaussian (DLQG) compensator for SSR damping which includes a full order Kalman filter to estimate all the states of the system and a full state feedback regulator. The controller is tested on IEEE First Benchmark model for SSR studies. A discrete linear-time invariant (LTI) model of a thyristor-controlled series capacitor (TCSC) in the synchronously...
This paper analyzes the effect of replay attacks on a control system. We assume an attacker wishes to disrupt the operation of a control system in steady state. In order to inject an exogenous control input without being detected the attacker will hijack the sensors, observe and record their readings for a certain amount of time and repeat them afterwards while carrying out his attack. This is a very...
A flux linkage estimation method for induction motor based on extended Kalman filter theory (EKF) is presented in this paper. In order to improve the accuracy of filtering, genetic algorithm (GA) is introduced to optimize the noise matrix, and also filtering parameters in EKF. Simulation results show that the flux observer with optimized filtering parameter has better estimation accuracy and dynamic...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.