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Real-time measurement for automotive suspension distance based on acceleration was carried out by using virtual real-time controller. This paper set up a test system, in which the industrial embedded system CompactRIO and several C modules were employed as its hardware collector, besides typical ICP acceleration sensor, displacement sensor and GPS system were also employed. FPGA programming and controller programming using the multi-threading and FIFO method were completed in LabVIEW. The time information was contained in every sample data package, which effectively improved the speed of data transmission and the accuracy of data processing. Wavelet filter and support vector machine (SVM) model were built and embedded in CompactRIO to predict and output suspension distance (CAN, 100 Hz) in real time. The grade of seven kinds of typical roads was determined according to the RMS value of acceleration of suspension’s lower measuring point, which was employed as input element of the SVM model. The road way tests and data analyses indicated that the controller consumes less than 1 ms when completing one point’s wavelet filtering and predicting in which ε=0.01 for ε-SVR algorithm. The relationship coefficient of the suspension displacement curves of predicted by SVR model and measured in road way tests were more than 0.90 primarily. So the system could meet the requirements of accuracy and real-time control. 