首页> 外文会议>International Conference on Control Automation and Systems 2010 >Modeling of a radio-controlled car with camera based on system identification — Comparison between open-loop and closed loop methods
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Modeling of a radio-controlled car with camera based on system identification — Comparison between open-loop and closed loop methods

机译:基于系统识别的带摄像头的无线电遥控汽车建模—开环和闭环方法的比较

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This paper describes a modeling of movement object. A auto driving of the car is studied to reduce traffic accidents and traffic jam in late years. The experiment tries there control with the radio controlled car which did movement same as a car. The control of the radio controlled car controls the steering voltage on speed uniformity this time. The control method usually uses model predictive control. The precision of the model becomes important for the model predictive control. To give the precision of model, a system model of straight line and curve line is necessary for the model of the radio controlled car. Since these movements of the radio controlled car are different, these model do not become the same models. The model of the car on curve needs closed loop identification with impossibility by open loop identification. Therefore, we examine the model of straight line using closed loop identification model to consider proper model.
机译:本文描述了运动对象的建模。研究汽车的自动驾驶以减少近年来的交通事故和交通拥堵。实验试图用与汽车动作相同的无线电遥控汽车进行控制。这次,无线电遥控车的控制控制着转向电压的速度均匀性。控制方法通常使用模型预测控制。模型的精度对于模型的预测控制变得很重要。为了给出模型的精度,电波汽车的模型需要直线和曲线的系统模型。由于无线电遥控车的这些运动是不同的,因此这些模型不会成为相同的模型。弯道上的汽车模型需要闭环识别,而无法通过开环识别来识别。因此,我们使用闭环识别模型检查直线模型以考虑适当的模型。

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