The requirements for fuzzy car model simulation software In order to study the fuzzy car model, the model needs to be simulated by a computer. The simulation software has the following requirements: (1) Save and select the input data of the car model; (2) Implement the input data Fuzzification, conversion of data to integer universes; (3) mapping of fuzzy control rules; (4) simulation of fuzzy car models; (5) anti-fuzzification; (6) saving of output results in the form of files; (7) ) Visualized interface; (8) Change and adjustment of fuzzy car model parameters.
The simulation software of fuzzy car model compiled under VisualC++6.0 environment. The interface of the fuzzy car model simulation software is the steering angle of the car. The change of the steering wheel angle is obtained by =ii-1. The input data is stored in the form of the car file. When the simulation is finished, the data file can be opened. The input data of the car model can either be obtained experimentally or artificially. The output of the car model is the yaw rate of the car and the result is saved as an rst file.
When clicking the Open Data File button, a dialog box for opening the data file will pop up. When the Save Data File and Save Calculation Results buttons are clicked, a dialog box for saving data files will pop up, which can be opened and saved in the specified path and name. In the file, when the simulation is running, the window of the car fuzzy model will show the directory of the relevant files, the process of running and simulation. Fuzzy vehicle model simulation algorithm The fuzzy automobile model simulation algorithm is shown.
Simulation application example Using the simulation software of the fuzzy vehicle model compiled, the computer simulation of the fuzzy automobile model was realized. Through a road test of a jeep, vehicle motion data such as vehicle speed, steering wheel angle, yaw rate, and roll angle were measured. The measured vehicle speed, steering wheel angle, steering wheel angle change data is taken as the input of the fuzzy car model, whether the yaw rate output by the car model is consistent with the yaw rate data obtained by the test, and the accuracy of the fuzzy car model can be verified.
According to the characteristics of the jeep suspension, the quantification factors k0, k1, k2, k3 are: 0.05, 0.0022, 0.05, 3.0, and the correction factors 0, 1, 3, 4, and kk of the fuzzy car model are often given by experience. Several different values, then simulate them one by one to select the optimal value. After several adjustments, k0, k1, k2, k3, 0, 1, 3, 4, and k are respectively taken as: 0.45, 0.55, 0.60, 0.70, 0.98, speed factor k is implemented in the program. This is a comparison of the experimental and simulated values ​​of a Jeep. The output of the fuzzy car model and the experimental results are basically consistent.
The simulation software developed by the author can conveniently adjust k0,k1,k2,k3 and correction factors 0,1,3,4,k according to different car types, and adjust the quantization factors k0,k1,k2,k3 in practice. It is to meet the requirements of suspension and steering systems for different cars. The adjustment of the correction factors 0,1,3,4,k is the adjustment of the rule base of the fuzzy car model. Quantitative first phase Yin Niandong Chen Dingfang: research on fuzzy vehicle model and simulation factor adjustment fuzzy car model simulation algorithm Fuzzy car model simulation value and experimental value comparison (Jeep) factor k0, k1, k2, k3 and correction factor 0, The joint adjustment of 1,3,4,k can emulate the fuzzy car model adjusted by different factors, change the simulation algorithm of the control rule, and can simulate different car models, thereby conducting in-depth research on it.
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