摘要
在建立某轻型越野车悬架系统7自由度数学模型的基础上,设计了基于模糊T-S神经网络控制策略的半主动悬架控制系统,分析并推导了该输出反馈控制系统的局部和全局稳定性条件。然后,进行了计算机仿真计算,并在沙石路面和沥青路面上进行了实车道路试验。仿真和试验结果趋于一致,车辆性能改善较明显。实验结果表明推理正确,控制器稳定有效,具有较强的鲁棒性。
Based on the mathematical model for seven-freedom degree suspension system of a light cross- country vehicle, the semi-active suspension control system based on T-S fuzzy neural network control strategy is designed. The local and the global stability conditions of the control system are analyzed and deduced. Then, the simulations are done with the software Matlab/Simulink, and the tests of whole ve- hicle are carried out on the rough and asphalt road surface with several speeds. Test results are in agreement with simulation results, thus the vehicle performance is improved. Results indicate that the reasoning about the stability is right and the designed controller is valid . The system has good robust stability.
出处
《南京航空航天大学学报》
EI
CAS
CSCD
北大核心
2009年第3期375-379,共5页
Journal of Nanjing University of Aeronautics & Astronautics
