A double-mass model of air suspension was established. The method based on RBF network for matching optimization of air suspension systems damping and air spring was proposed. When the best match was chose, the vehicle body acceleration and wheels dynamic load were selected for minimum optimization objectives and the suspension dynamic travel was the constraint condition. Simulation results show that the bus ride comfort and road holding ability were improved. The simulation results agree with the testing data of the test bench.
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杨启耀,周孔亢,李敬东,徐兴,袁春元.基于神经网络的空气悬架系统匹配优[J].农业机械学报,2009,40(4):18-22. Network Optimization on Matching of Air Suspension System[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(4):18-22.