Input force identification using Kalman filter techniques: application to soil-pile interaction

2008 ◽  
Author(s):  
Chin-Hsiung Loh ◽  
Ai-Lun Wu ◽  
Jann N. Yang ◽  
Chia-Han Chen ◽  
Tzou-Shin Ueng
2009 ◽  
Vol 16 (2) ◽  
pp. 223-240 ◽  
Author(s):  
Ai-Lun Wu ◽  
Chin-Hsiung Loh ◽  
Jann N. Yang ◽  
Jian-Huang Weng ◽  
Chia-Han Chen ◽  
...  

2012 ◽  
Vol 27 ◽  
pp. 446-460 ◽  
Author(s):  
E. Lourens ◽  
E. Reynders ◽  
G. De Roeck ◽  
G. Degrande ◽  
G. Lombaert

2021 ◽  
Author(s):  
Jiangxue Chen ◽  
Jinsong Zhou ◽  
Dao Gong

Abstract The excitation force identification of multiple devices in railway vehicles is studied. The vertical dynamic coupling model between the flexible car body of high-speed train and the under-chassis active device with excitation itself is established based on the modal superposition method. The excitation force from device is identified based on Kalman filter. A modal order selection method is developed for improving the identification accuracy based on tolerance index. The identification effects of single and multiple active devices including single-frequency steady-state, multi-frequency steady-state, impact, sawtooth wave and square wave excitation forces are analyzed. An error limit range of 5% is defined to evaluate the identification results. The results show that the method is suitable for the identification of various steady-state and transient-state excitation forces, and the identification results of excitation forces of single and multiple active devices have good accuracy.


2020 ◽  
Vol 143 (3) ◽  
Author(s):  
Jiangxue Chen ◽  
Jinsong Zhou ◽  
Dao Gong ◽  
Wenjing Sun ◽  
Yu Sun ◽  
...  

Abstract Excitation force of under-chassis active equipment of railway vehicles has a significant impact on the floor vibration of the car body. In order to improve the accuracy of the excitation force identification of active equipment in engineering practice, a new excitation force identification method was proposed by applying modified Sage-Husa adaptive Kalman filter (MSHAKF). First, the advantages of the MSHAKF over conventional Kalman filter (CKF) are introduced. Simulation shows that the MSHAKF has excellent exactness and robustness for active equipment excitation force identification. Finally, a test device for identifying excitation force was established. The infinite impulse response (IIR) low-pass filter is designed by using the bilinear transformation method to eliminate the identification error caused by the frequency multiplication components in the response signal. The experimental result shows that the proposed method is very effective in engineering practice without mastering the noise characteristics of the system.


2013 ◽  
Vol 471 ◽  
pp. 102-106 ◽  
Author(s):  
Abdul Ghaffar Abdul Rahman ◽  
Khoo Shin Yee ◽  
Zubaidah Ismail ◽  
Chong Wen Tong ◽  
Siamak Noroozi

In the automobile industry, impact force is the main cause for material fatigue in lightweight vehicles. Bump-excited impact force is the most common case, which causes damage to vehicles and reduces the quality of the ride. Force identification is important to reflect the structure's health so that action such as structure modification can be taken before material fatigue. However, direct measurement by using force transducer is not practical due to difficulty in force sensor configuration. A methodology utilizing Operating Deflection Shape (ODS) analysis, Frequency Response Function (FRF) measurement and Modal Transformation Method (MTM) to evaluate the dynamic force is proposed here. This method is called indirect force measurement by using inverse technique. The performance of this approach was demonstrated via experiment. From the measured responses and measured dynamic characteristics of an automobile test rig, a real time mathematical manipulation can generate the systems input force. The force location is known in priori for impact excitation and therefore the inverse problem is well-posed. This method was tested using different force location with unique input force. It shows that high quality of curve fitting to extract the modal parameters such as damped natural frequency, modal damping and residue mode shape is essential to obtain a high accuracy force determination result.


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