Unscented Kalman Filter Method for Speed Estimation Using Single Loop Detector Data

2006 ◽  
Vol 1968 (1) ◽  
pp. 117-125 ◽  
Author(s):  
Zhirui Ye ◽  
Yunlong Zhang ◽  
Dan R. Middleton
Keyword(s):  
Kalman Filter ◽  
Unscented Kalman Filter ◽  
Filter Method ◽  
Speed Estimation ◽  
Single Loop ◽  
Loop Detector ◽  
Kalman Filter Method

scholarly journals Estimation of Full Strap-down Rotating Bomb Guidance Information Based on Unscented Kalman Filter

2020 ◽  
Vol 38 (3) ◽  
pp. 604-609
Author(s):  
Wei Gao ◽  
Benbing Gao ◽  
Hongsong Fang ◽  
Xin Lu
Keyword(s):  
Mathematical Model ◽  
Kalman Filter ◽  
Unscented Kalman Filter ◽  
Angular Rate ◽  
The Body ◽  
Filter Method ◽  
Measurement Information ◽  
Kalman Filter Method ◽  
The Mathematical Model ◽  
Navigation Information

In this paper, the full strap-down seeker of rotating bomb is taken as the research object, and the method of extracting the LOS (line-of-sight) angle and angular rate of the full strap-down seeker of the rotating bomb is studied. The structure of the full strap-down seeker is quite different from that of the conventional rate gyro seeker. The measurement system of full strap-down seeker is fixed to the missile, the seeker can only obtain the measurement information in the projectile coordinate system, and the measurement information is coupled with the body posture information, so it cannot be directly used for the control guidance of the rotating projectile. First, based on the conversion relationship between coordinate systems, the mathematical model of the inertial LOS angle of the rotating bomb is established, and the mathematical model of the extraction of the inertial LOS angle and angular rate of the rotating bomb is further established. Then, the Kalman filter is designed by using the unscented Kalman filter method (UKF), and the extracted LOS angle containing noise information is filtered. Finally, the mathematical simulation is carried out to verify the validity of the mathematical model of LOS angle and angular rate extraction. Compared with the Extended Kalman filter method (EKF), the UKF has a higher accuracy for estimating the navigation information of the full strap-down rotating projectile.

scholarly journals General Model and SOC Estimation of Battery

2021 ◽  
Vol 15 ◽  
pp. 155-163
Author(s):  
Li Meng ◽  
Haipeng Guo ◽  
Xiaowei Zhao
Keyword(s):  
Kalman Filter ◽  
General Model ◽  
Unscented Kalman Filter ◽  
Measurement Data ◽  
Work Conditions ◽  
Filter Method ◽  
Soc Estimation ◽  
The Difference ◽  
Kalman Filter Method ◽  
Set Up

Monitoring the battery state is of great importance for the safety and normal of the systems which are powered by batteries. SOC (State of Charge) is one of the most important state parameters of battery. SOC cannot be measured directly. The Kalman filter algorithm is one of the techniques often applied to estimate SOC value. An accurate model is necessary for this algorithm. In this paper, a general SOC model is set up. It takes into account not only the difference between discharging and charging work conditions, but also the influence of the working atmosphere, such as temperature and discharging rate. Then based on this general model, unscented Kalman filter method is used to predict the SOC value. It can avoid the error which is caused by ignoring high-order terms, which is a shortcoming exist in the extended Kalman filter method. The simulation experiments prove the approach can get satisfactory results even when the measurement data is mixed with noise or the initial SOC value is not accurate.

A Review of Wind Speed Estimation for Wind Turbine Systems Based on Kalman Filter Technique

2016 ◽  
Vol 6 (4) ◽  
pp. 1406 ◽  
Author(s):  
M. Najafi Khoshrodi ◽  
Mohammad Jannati ◽  
Tole Sutikno
Keyword(s):  
Kalman Filter ◽  
Wind Speed ◽  
Wind Turbine ◽  
Single Point ◽  
Estimation Methods ◽  
Filter Method ◽  
Speed Estimation ◽  
Filter Technique ◽  
Kalman Filter Method ◽  
Wind Speed Measurement

This paper presents a review of wind speed estimation based on Kalman filter technique applied to wind turbine systems. Generally, wind speed measurement is performed by anemometer. The wind speed provided by the anemometer is measured at a single point of the rotor plane which is not the accurate wind speed. Also, using anemometer increases the system cost, maintenance, complexity and reduces the reliability. For these reasons, estimation of wind speed is needed for wind turbine systems. In this paper, the several wind speed estimation methods based on Kalman filter method used for wind turbine systems are reviewed.

scholarly journals A Review of Wind Speed Estimation for Wind Turbine Systems Based on Kalman Filter Technique

2016 ◽  
Vol 6 (4) ◽  
pp. 1406
Author(s):  
M. Najafi Khoshrodi ◽  
Mohammad Jannati ◽  
Tole Sutikno
Keyword(s):  
Kalman Filter ◽  
Wind Speed ◽  
Wind Turbine ◽  
Single Point ◽  
Estimation Methods ◽  
Filter Method ◽  
Speed Estimation ◽  
Filter Technique ◽  
Kalman Filter Method ◽  
Wind Speed Measurement

This paper presents a review of wind speed estimation based on Kalman filter technique applied to wind turbine systems. Generally, wind speed measurement is performed by anemometer. The wind speed provided by the anemometer is measured at a single point of the rotor plane which is not the accurate wind speed. Also, using anemometer increases the system cost, maintenance, complexity and reduces the reliability. For these reasons, estimation of wind speed is needed for wind turbine systems. In this paper, the several wind speed estimation methods based on Kalman filter method used for wind turbine systems are reviewed.

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