Open AccessVibration Information Acquisition and Representation Control Strategy for Construction Vehicle Driver Seat
Author(s) -
Mingde Gong,
Baoqiang Zhao,
Xin Wang
Publication year - 2019
Publication title -
shock and vibration
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 45
eISSN - 1875-9203
pISSN - 1070-9622
DOI - 10.1155/2019/9808604
Subject(s) - accelerometer , vibration , displacement (psychology) , gyroscope , control theory (sociology) , engineering , filter (signal processing) , acceleration , sensor fusion , representation (politics) , computer science , acoustics , artificial intelligence , computer vision , control (management) , classical mechanics , politics , law , political science , psychotherapist , aerospace engineering , operating system , psychology , physics
Vibration information acquisition and representation control strategy in the experiment of construction of vehicle driver seat are investigated in this study. An improved adaptive algorithm of multisensor attitude data fusion is proposed. The nonlinear equations of vehicle attitude quaternions are constructed by using the test information of accelerometers and magnetometers. Then, a complementary filter is used to fuse the obtained attitude with gyroscope information to obtain attitude information during vehicle travel. Weight matrix and filter coefficients in the algorithm are adjusted with vehicle motions to ensure accuracy of attitude measurement under static, low-, and high-acceleration conditions. The vehicle vibration displacement information is reconstructed by the low-frequency attenuation integration method on the basis of attitude measurement to inhibit integral trend items and reduce vibration displacement reconstruction errors. The three-state controller is designed to control a six-degree-of-freedom hydraulic simulated vibration test bed, and the obtained vibration signal is used as an excitation signal to perform a vibration representation control test. Finally, results verify that the proposed method demonstrates favourable data fusion and representation accuracy.