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Robust H_∞ fuzzy networked control for vehicle lateral dynamics

机译:车辆横向动力学的鲁棒H_∞模糊网络控制

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Networked control system for vehicle lateral dynamics is developed in this study to improve the cornering stability. By considering the packet dropouts, network-induced delay, road adhesion variations, driver effect and only yaw rate sensor for measuring, a robust H_∞ fuzzy static output feedback controller operating through a communication network is designed. After giving the nonlinear model of the vehicle, its Takagi-Sugeno (T-S) incertain fuzzy model representation is first presented. Next, based on the Lyapunov krasovskii functional approach and a parallel distributed compensation scheme, the gains of the fuzzy controller are determined by solving a set of Linear Matrix Inequalities (LMI). Simulations have been conducted to evaluate the performance of the active cornering stability control system under limitation of the network resources caused by data transmission.
机译:在该研究中开发了用于车辆横向动力学的网络控制系统,以提高转弯稳定性。通过考虑数据包丢失,网络诱导的延迟,道路粘附变化,驾驶员效应和用于测量的横摆率传感器,设计了通过通信网络操作的鲁棒H_‖模糊静态输出反馈控制器。在给予车辆的非线性模型之后,首先呈现其Takagi-Sugeno(T-S)的设计模糊模型表示。接下来,基于Lyapunov Krasovskii功能方法和并行分布式补偿方案,通过求解一组线性矩阵不等式(LMI)来确定模糊控制器的增益。已经进行了仿真以评估由数据传输引起的网络资源的限制下的主动转向稳定控制系统的性能。

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