Comparative analysis between FFT and Kalman filter approaches for harmonic components detection

2012 ◽  
Author(s):  
Newton C. Will ◽  
Rafael Cardoso
Keyword(s):  
Kalman Filter ◽  
Comparative Analysis ◽  
Harmonic Components

Performance of AEB System on a Slope Using an Extended Kalman Filter

2019 ◽  
Vol 29 (07) ◽  
pp. 955-969 ◽  
Author(s):  
Gyoungeun Kim ◽  
Hyeonggeun Mun ◽  
Byeongwoo Kim
Keyword(s):  
Kalman Filter ◽  
Comparative Analysis ◽  
Extended Kalman Filter ◽  
Tire Model ◽  
Emergency Braking ◽  
Bicycle Model ◽  
Vehicle Sensor

In this study, the performance of a slope Autonomous Emergency Braking (AEB) system that estimates the angle of inclination in a V2V-based vehicle was evaluated. Existing AEB systems do not take changes in the angle of inclination into account or they use a reference angle, which results in limited braking properties on a slope. To improve the braking properties of AEB systems on slopes, the angle of inclination must be estimated. We propose an AEB system that employs an extended Kalman filter, along with an in-vehicle sensor (ESC) combined with a bicycle model and linear tire model to estimate the angle of inclination. We conducted comparative analysis via simulations of the performance of the proposed AEB system with those of an AEB system that does not consider slope and another one that uses a reference angle of inclination at a variety of angles of inclination and velocities. The results obtained verify the utility of the proposed extended Kalman filter-based AEB system on slopes.

scholarly journals Nonlinear observers design for multivariable ship motion control

2012 ◽  
Vol 19 (Special) ◽  
pp. 50-56 ◽  
Author(s):  
Mirosław Tomera
Keyword(s):  
Mathematical Model ◽  
Kalman Filter ◽  
Comparative Analysis ◽  
Motion Control ◽  
Extended Kalman Filter ◽  
Computer Model ◽  
Ship Motion ◽  
Nonlinear Mathematical Model ◽  
Nonlinear Observers ◽  
Ship Handling

ABSTRACT This paper presents the designs of two observers, which are: the extended Kalman filter and the nonlinear passive observer. Based on the measured values of ship position and heading, the observers estimate the surge, sway and yaw velocities of the ship motion. The observers make use of the simplified nonlinear mathematical model of ship motion in which the neglected ship dynamics and disturbances are modelled using bias. The designed observers firstly have been simulated on a computer model where their parameters were calibrated, and then were implemented on the physical model of the training ship “Blue Lady” in the ship handling centre in Ilawa-Kamionka. The comparative analysis was done with respect to the estimated variables describing the ship motion in three directions: surge, sway and yaw

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