A reliable automatic simulation of singular transients by the adaptive Huber method: The case of homogeneous reactions at planar and spherical electrodes

2019 ◽  
Vol 297 ◽  
pp. 463-478 ◽  
Author(s):  
L.K. Bieniasz
Keyword(s):  
Huber Method ◽  
Automatic Simulation ◽  
Homogeneous Reactions

Understanding the Homogeneous Reactions of Primary Tar from Biomass Pyrolysis by Means of Photoionization Mass Spectrometry

2020 ◽  
Vol 34 (10) ◽  
pp. 12678-12687 ◽  
Author(s):  
Ke Yang ◽  
Jiahao Wang ◽  
Jiahui Huang ◽  
Jiuzhong Yang ◽  
Yang Pan ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Biomass Pyrolysis ◽  
Photoionization Mass Spectrometry ◽  
Homogeneous Reactions

Automatic simulation of ship navigation

2011 ◽  
Vol 38 (17-18) ◽  
pp. 2290-2305 ◽  
Author(s):  
Yanzhuo Xue ◽  
D. Clelland ◽  
B.S. Lee ◽  
Duanfeng Han
Keyword(s):  
Ship Navigation ◽  
Automatic Simulation

scholarly journals Huber-Based Robust Unscented Kalman Filter Distributed Drive Electric Vehicle State Observation

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 750
Author(s):  
Wenkang Wan ◽  
Jingan Feng ◽  
Bao Song ◽  
Xinxin Li
Keyword(s):  
Kalman Filter ◽  
Real Time ◽  
Degrees Of Freedom ◽  
Unscented Kalman Filter ◽  
State Parameter ◽  
State Observation ◽  
Straight Line ◽  
Distributed Drive Electric Vehicle ◽  
Huber Method ◽  
Yaw Moment

Accurate and real-time acquisition of vehicle state parameters is key to improving the performance of vehicle control systems. To improve the accuracy of state parameter estimation for distributed drive electric vehicles, an unscented Kalman filter (UKF) algorithm combined with the Huber method is proposed. In this paper, we introduce the nonlinear modified Dugoff tire model, build a nonlinear three-degrees-of-freedom time-varying parametric vehicle dynamics model, and extend the vehicle mass, the height of the center of gravity, and the yaw moment of inertia, which are significantly influenced by the driving state, into the vehicle state vector. The vehicle state parameter observer was designed using an unscented Kalman filter framework. The Huber cost function was introduced to correct the measured noise and state covariance in real-time to improve the robustness of the observer. The simulation verification of a double-lane change and straight-line driving conditions at constant speed was carried out using the Simulink/Carsim platform. The results show that observation using the Huber-based robust unscented Kalman filter (HRUKF) more realistically reflects the vehicle state in real-time, effectively suppresses the influence of abnormal error and noise, and obtains high observation accuracy.

Sign in / Sign up

Export Citation Format

Share Document