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Vibration control of vehicle active suspension system using novel fuzzy logic controller

机译:基于新型模糊逻辑控制器的车辆主动悬架系统振动控制

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In this paper, the vibration control of vehicle active suspension system (VASS) using an intelligent type-2 fuzzy logic controller (T2FLC) is projected. In a vehicle, the active suspension plays an important role in isolating the passengers and the vehicle body from the road roughness. Initially, a non-intelligent-based proportional, integral and derivative controller (PIDC) and then an intelligent-hased type-1 fuzzy logic controller (T1FLC) have been designed to ensure travelling and ride comfort of a road vehicle. The fuzzy logic is one of the efficient ways that implements engineering heuristics into control action. With the selected fuzzy rules, the PI DC shows better performance than the T1FLC. Secondly, T2FLC which is proved to be efficient than the T1FLC and that can handle uncertainties to a greater extent is used for control purpose in a VASS. Using MATLAB/SIMULINK, the simulation is performed by considering the root mean square (RMS) value of body acceleration as the performance index. Simulation results such as sprung mass displacement, body acceleration, suspension deflection, tyre deflection and power spectral density (PSD) show the effectiveness of the T2FLC over T1FLC, PIDC and passive system in suppression of the vibration of vehicle body.
机译:本文提出了一种使用智能2型模糊逻辑控制器(T2FLC)的车辆主动悬架系统(VASS)的振动控制。在车辆中,主动悬架在使乘客和车身与路面不平整方面起着重要作用。最初,已经设计了基于非智能的比例,积分和微分控制器(PIDC),然后设计了智能型1型模糊逻辑控制器(T1FLC),以确保公路车辆的行驶和乘坐舒适性。模糊逻辑是将工程启发式方法实施为控制措施的有效方法之一。通过选择的模糊规则,PI DC的性能优于T1FLC。其次,被证明比T1FLC效率更高并且可以处理更大程度不确定性的T2FLC用于VASS中的控制目的。使用MATLAB / SIMULINK,可以通过将身体加速度的均方根(RMS)值视为性能指标来执行仿真。簧载质量位移,车身加速度,悬架挠度,轮胎挠度和功率谱密度(PSD)等仿真结果表明,T2FLC优于T1FLC,PIDC和无源系统在抑制车身振动方面是有效的。

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