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首页> 外文期刊>Advances in Mechanical Engineering >An Adaptive Neuro Fuzzy Hybrid Control Strategy for a Semiactive Suspension with Magneto Rheological Damper
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An Adaptive Neuro Fuzzy Hybrid Control Strategy for a Semiactive Suspension with Magneto Rheological Damper

机译：磁流变阻尼器半主动悬架的自适应神经模糊混合控制策略

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摘要

The main function of a vehicle suspension system is to isolate the vehicle body from external excitation in order to improve passenger comfort and road holding and to stabilise its movement. This paper considers the implementation of an adaptive neuro fuzzy inference system (ANFIS) with a fuzzy hybrid control technique to control a quarter vehicle suspension system with a semiactive magneto rheological (MR) damper. A quarter car suspension model is set up with an MR damper and a semiactive controller consisting of a fuzzy hybrid skyhook-groundhook controller and an ANFIS model is also designed. The fuzzy hybrid controller is used to generate the desired control force, and the ANFIS is designed to model the inverse dynamics of MR damper in order to obtain a desired current. Finally, numerical simulations of the semiactive suspensions with the ANFIS- hybrid controller, the traditional hybrid controller, and passive suspension are compared. The results of simulations show that the proposed ANFIS-hybrid controller provides better isolation performance than the other controllers.
机译：车辆悬架系统的主要功能是将车身与外部激励隔离，以提高乘客的舒适度和抓地力，并稳定其运动。本文考虑了采用模糊混合控制技术的自适应神经模糊推理系统（ANFIS）的实现，以控制具有半主动磁流变（MR）阻尼器的四分之一车辆悬架系统。建立了一个带有MR阻尼器的四分之一汽车悬架模型和一个半主动控制器，该半主动控制器包括模糊混合的天钩-地钩控制器和ANFIS模型。模糊混合控制器用于生成所需的控制力，而ANFIS设计为对MR阻尼器的逆动力学建模，以获得所需的电流。最后，比较了使用ANFIS-混合控制器，传统混合控制器和被动悬架的半主动悬架的数值模拟。仿真结果表明，所提出的ANFIS混合控制器比其他控制器具有更好的隔离性能。

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