Vehicular Suspension Controller Based on Adaptive Neuro Fuzzy Inference System

Mannjurkha M. Pathan, A. Deshmukh
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Abstract

Looking towards the market providing the luxurious comfort to the passengers in the vehicle, the suspension system plays an important role. To design the a controller for suspension system is very important for improving road handling quality of vehicle and riding comfort of passenger. In this paper a mathematical model is given for proposed suspension system. The detail literature review has been done and provided. The active suspension system has a great performance for vibration control but one of the drawback of this system that it consumes high energy. This drawback has been solved by providing the facility to convert the vibration energy that produced because of road surface profile to useful electrical energy to reduce the energy consumption. The application of adaptive Adaptive Neuro Fuzzy Inference System for proposed system has been justified in this paper.
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基于自适应神经模糊推理系统的车辆悬架控制器
面向为车内乘客提供豪华舒适的市场,悬架系统扮演着重要的角色。悬架系统控制器的设计对提高车辆的路面操纵质量和乘客的乘坐舒适性具有十分重要的意义。本文给出了该悬架系统的数学模型。详细的文献综述已经完成并提供。主动悬架系统具有良好的振动控制性能,但其缺点之一是耗能大。通过提供将路面轮廓产生的振动能量转换为有用的电能以减少能源消耗的设施,解决了这一缺点。本文验证了自适应神经模糊推理系统在该系统中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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