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A robust fuzzy logic based control system, combined with Kalman filter is proposed to control the speed of sensorless permanent magnet synchronous motor (PMSM) drive system in this paper. A novel speed controller is designed using the concept of fuzzy logic, which ensures robust speed control against parameter variations. Sensorless control of PMSM servo drive is implemented using the Kalman filter...
Wind speed prediction is crucial for electricity system security and planning. In this paper, ensemble Kalman Filter (EnKF) method is employed to predict 10 minutes averaged wind speed. We use Auto-Regressive and Moving Average (ARMA) model as the state function of EnKF, perturb initial wind data to generate ensembles and forecast wind speed data via EnKF. The comparison with in-situ measurements...
The paper presents a novel adaptive neural-network based nonlinear model predictive control (NMPC) methodology for hybrid systems with mixed inputs. For this purpose an online self-organizing growing and pruning redial basis function (GAP-RBF) neural network is employed to identify the hybrid system using the unscented Kalman filter (UKF) learning algorithm. A receding horizon adaptive NMPC is then...
Proposed a T-S Fuzzy to improve the performance of a integrated GNSS and MEMS-IMU which be used in a land vehicle. The T-S Fuzzy model is used to predict the position and velocity errors, inputs these errors to Kalman filter during GNSS signal outages. The performances of the model were simulated test and compared to the common Kalman filter. The results show the integrated system used the proposed...
The inherent torque ripple of brushless DC motor limited its scope of application. In this paper, the state space model of system was derived from the mathematical model of motor to generate the desired current. An optimal state feedback controller using the Kalman filter state estimation technique was established aimed at ripple free torque control. An active disturbance rejection control algorithm...
We calculate the Hurst exponent H(t) of several time series by dynamical implementation of a scaling technique: the detrending moving average (DMA). In order to assess the accuracy of the technique, we calculate the exponent H(t) for artificial series, simulating monofractal Brownian paths, with assigned Hurst exponents H. We next calculate the exponent H(t) for the return of high-frequency (tick-by-tick...
In this paper, a new extended Kalman particle filter based information fusion is proposed for state estimation problem of nonlinear and non-Gaussian systems. It uses extended Kalman filter algorithm to update particles in particle filter, with which the local state estimated values can be calculated. The multi-sensor information fusion filter is obtained by applying the standard linear minimum variance...
A fault-tolerant integrated navigation method for land vehicle is researched in this paper, which is based on inertial measurement unit (IMU), global positioning system (GPS) and dead reckoning system (DRS). Firstly, position and velocity outputs of IMU and GPS are taken to construct measurements of IMU/GPS integrated navigation, and IMU/GPS Kalman filtering algorithm is deduced and designed. At the...
We propose a new algorithm, called the central difference filter - Kalman filter (CDF-KF) for conditionally linear Gaussian state space models. The linear state equation is firstly inserted into the measurement equation, and the CDF is applied to the new measurement and the nonlinear state equations to estimate the nonlinear states, where after the estimated means of the nonlinear states are substituted...
An algorithm of target tracking based on adaptive waveform design was proposed with the help of Doppler estimation theory. According to the analysis of the ambiguity function for liner frequency modulation signal, a model between ambiguity function of the signal and Cramer-Rao bound of time and frequency delay was built. This paper realized the target tracking by adjusting the frequency width and...
In a visual surveillance system, robust tracking of moving objects which are partially or even fully occluded is very difficult. In this paper, we present a method of tracking objects through occlusions using a combination of Kalman filter and color histogram. By changing covariance of process noise and measurement noise in Kalman filter, this method can maintain the tracking of moving objects before,...
Because of the environment and the nature of the signal itself, GPS or wireless mobile positioning technology always has any unavoidable defect. But higher coverage percentage, reliability or precision than single positioning can be gained if integrating at least two positioning technologies' advantages and avoiding their deficiencies. So the developmental trend of mobile positioning technology is...
Aerodynamic parameter estimation provides an effective way for aerospace system modelling using measured data from flight test, especially for the purpose of developing elaborate simulation environments and control systems design of Unmanned Aerial Vehicle (UAV) with short design cycles and reduced cost. However, parameter identification of airplane dynamics is complicated because of its nonlinear...
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