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Global Chassis Control System Using Suspension, Steering, and Braking Subsystems

机译:使用悬架,转向和制动子系统的全球底盘控制系统

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摘要

A novel Global Chassis Control (GCC) system based on a multilayer architecture with three levels: top: decision layer, middle: control layer, and bottom: system layer is presented. The main contribution of this work is the development of a data-based classification and coordination algorithm, into a single control problem. Based on a clustering technique, the decision layer classifies the current driving condition. Afterwards, heuristic rules are used to coordinate the performance of the considered vehicle subsystems (suspension, steering, and braking) using local controllers hosted in the control layer. The control allocation system uses fuzzy logic controllers. The performance of the proposed GCC system was evaluated under different standard tests. Simulation results illustrate the effectiveness of the proposed system compared to an uncontrolled vehicle and a vehicle with a noncoordinated control. The proposed system decreases by 14% the braking distance in the hard braking test with respect to the uncontrolled vehicle, the roll and yaw movements are reduced by 10% and 12%, respectively, in the Double Line Change test, and the oscillations caused by load transfer are reduced by 7% in a cornering situation.
机译:提出了一种基于多层体系结构的新颖的全局底盘控制(GCC)系统,该体系结构具有三个层次:顶层:决策层,中间:控制层和底层:系统层。这项工作的主要贡献是将基于数据的分类和协调算法开发为单个控制问题。决策层基于聚类技术对当前驾驶条件进行分类。然后,使用启发式规则,使用控制层中托管的本地控制器来协调所考虑的车辆子系统(悬架,转向和制动)的性能。控制分配系统使用模糊逻辑控制器。建议的GCC系统的性能在不同的标准测试下进行了评估。仿真结果说明了与不受控车辆和具有非协调控制的车辆相比,该系统的有效性。拟议的系统在硬制动测试中相对于不受控制的车辆减少了14%的制动距离,在双线换向测试中侧倾和偏航运动分别减少了10%和12%,并且由在转弯的情况下,负载传递减少了7%。

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