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Combined throttle and brake control for vehicle cruise control: a model free approach

机译:车辆巡航控制的组合节流阀和制动控制:一种自由模式

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This paper has been focused on the design of throttle and brake controller for vehicle speed control. The control goals of the speed control are reduction of the effects of model uncertainty and external disturbance caused by the nonlinearity of the servo-level dynamics and the unpredictable driving resistance such as inclination of road and aero dynamic drag force. The tracking performance also should be guaranteed. To that end, a model free approach has been proposed in this paper. The proposed controller uses modified linear longitudinal vehicle model with reasonable assumptions to derive throttle and brake control law and a few parameters in the vehicle model has been defined to represent the system delay and variation of the vehicle parameters during driving. Since the defined parameters named vehicle characteristic variables(VCVs) vary depending on the vehicle states, an adaptation algorithm has been developed to estimate the VCVs. The error dynamics of the vehicle acceleration and VCVs have been analyzed to prove the stability of the proposed algorithm. The tracking performance of the model free cruise controller has been verified by simulation. The results not only show good tracking performance but also verify that the MFCC considerably reduces the effects of model uncertainty and external'disturbance using adaptation algorithm.
机译:本文专注于车辆速度控制的节流阀和制动控制器的设计。速度控制的控制目标是由伺服电平动态的非线性和不可预测的驾驶电阻(例如道路和航空动态阻力)的不可预测的驾驶电阻引起的模型不确定性和外部干扰的影响。还应保证跟踪性能。为此,本文提出了一种模型自由方法。所提出的控制器使用改进的线性纵向车辆模型,具有合理的假设来得出节流阀和制动控制法,并且已经定义了车辆模型中的几个参数来表示在驾驶期间的系统延迟和车辆参数的变化。由于名为车辆特征变量(VCV)的定义参数根据车辆状态而变化,因此已经开发了一种自适应算法来估计VCV。已经分析了车辆加速度和VCV的误差动态以证明所提出的算法的稳定性。通过仿真验证了自由巡航控制器的跟踪性能。结果不仅显示出良好的跟踪性能,还验证了MFCC使用适应算法可以显着降低模型不确定性和外部的效果。

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