QIN Ye-chen, GUAN Ji-fu, GU Liang, LI Yi, LIU Rui. Road Profile Input Estimation Using Adaptive-Neuro Fuzzy Inference SystemJ. Transactions of Beijing institute of Technology, 2015, 35(5): 481-484,489. DOI: 10.15918/j.tbit1001-0645.2015.05.009
Citation: QIN Ye-chen, GUAN Ji-fu, GU Liang, LI Yi, LIU Rui. Road Profile Input Estimation Using Adaptive-Neuro Fuzzy Inference SystemJ. Transactions of Beijing institute of Technology, 2015, 35(5): 481-484,489. DOI: 10.15918/j.tbit1001-0645.2015.05.009

Road Profile Input Estimation Using Adaptive-Neuro Fuzzy Inference System

  • Based on adaptive neuro fuzzy inference system(ANFIS), a time domain estimation for road profile input was presented. Differential equations of quarter vehicle model were created, and white noise signal was employed to stimulate the model and the dynamic response was used to train the inverse dynamic model with ANFIS. In the simulation, different kinds of random excitations were used to verify the accuracy of ANFIS, and the effect of the number of membership function and combination of input data were also discussed. The result shows that ANFIS can be used for road estimation and its time domain reproduction.
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