Fuzzy logic controller for a vehicle active suspension system
Fuzzy logic controller for a vehicle active suspension system
复制标题
汽车主动悬架系统的模糊逻辑控制器
DOI：
10.1243/0954407001527178
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发表时间：
2000
期刊：
影响因子：
--
通讯作者：
Han Chao
中科院分区：
文献类型：
--
作者：
S. Huang;Han Chao
为了提高汽车的平顺性，提出了一种主动悬架系统。利用计算机仿真结果对其动态性能进行了研究。基于四轮独立悬架的概念，设计并构建了四分之一汽车2自由度（DOF）系统，以模拟汽车主动悬架系统的作用。由于液压作动悬架系统的数学模型是非线性的、复杂的，在设计基于模型的控制器时，很难推导出精确的系统模型。因此，采用无模型模糊控制算法设计控制器，实现隔振。实验结果表明，轮胎变形对主动悬架系统的控制性能影响较大。因此，引入灰色预测器对轮胎变形进行预测，并从反馈误差信号中进行滤波。这种带有灰色预测器的模糊控制策略的控制性能得到了显著提高。
Abstract An active suspension system has been proposed to improve the ride comfort. Its dynamic performance was investigated by using computer simulation results. A quarter-car 2 degree-of-freedom (DOF) system is designed and constructed on the basis of the concept of a four-wheel independent suspension to simulate the actions of an active vehicle suspension system. Since the mathematical model of this hydraulic actuating suspension system is non-linear and complicated, it is difficult to derive an accurate system model for designing a model-based controller. Therefore, a model-free fuzzy control algorithm is employed to design a controller for achieving vibration isolation. The experimental results show that the tyre deformation influences significantly the control performance of the active suspension system. Hence, a grey predictor is introduced to predict the tyre deformation and filter it from the feedback error signal. The control performance of this fuzzy control strategy with grey predictor is significantly improved.