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Fuzzy logic control of active suspension for maintaining a minimum transverse and longitudinal slope of a field working machine

机译:主动悬架的模糊逻辑控制,用于保持野外作业机械的最小横向和纵向坡度

摘要

This master thesis deals with the problem of maintaining the minimum transverse and longitudinal slope of a field working machine by the usage of fuzzy logic active suspension. The primary aim of the thesis is to determine whether the active suspension is efficient in maintaining the minimum slopes while moving around very uneven terrain and to what extent. For this purpose we used the Simulink programming environment to build a model of the whole vehicle with passive suspension. This was then expanded with fuzzy controllers for maintaining transverse and longitudinal slopes. In this way we obtained a model of the entire vehicle with active suspension. The fuzzy control algorithm has three main objectives: maintenance of transverse and longitudinal slopes in the desired range, maintenance of actuator reaches within the working area and maintenance of the best possible working range of all actuators or in other words the reduction of absolute cylinder reaches.ududThe correct functioning of the control algorithm was first tested on an ideal terrain, where the first section causes only the lateral slope of the vehicle, while the next section causes only the longitudinal slope. Since such individual anomalies do not reflect the actual situation of the terrain on which the actual machine will be used, we came up with an algorithm for generating a variety of very uneven terrains that are suitable for testing the robustness of the control algorithm. A comparison of the proposed active and passive suspension was made on three different terrains and with two different vehicle speeds (1 m/s and 4 m/s).ud
机译:该硕士论文致力于通过使用模糊逻辑主动悬架来保持野外作业机械的最小横向和纵向斜率。本文的主要目的是确定主动悬架在非常不平坦的地形上行驶时能否有效地保持最小的坡度以及在多大程度上有效。为此,我们使用Simulink编程环境来构建带有被动悬架的整车模型。然后使用模糊控制器对其进行扩展,以保持横向和纵向的坡度。这样,我们获得了具有主动悬架的整个车辆的模型。模糊控制算法具有三个主要目标:将横向和纵向的坡度保持在所需范围内,将执行机构保持在工作区域内,并维持所有执行机构的最佳可能工作范围,换句话说,减少绝对气缸行程。 ud ud首先在理想的地形上测试了控制算法的正确功能,其中第一部分仅引起车辆的侧向倾斜,而下一部分仅引起车辆的侧向倾斜。由于此类个体异常无法反映将要使用实际机器的地形的实际情况,因此我们提出了一种算法,用于生成各种非常不平坦的地形,适用于测试控制算法的鲁棒性。在三种不同的地形以及两种不同的车速(1 m / s和4 m / s)下,对建议的主动和被动悬架进行了比较。

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    Uležić Dragan;

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  • 年度 2015
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