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   车道保持系统 在 汽车工业 分类中 的翻译结果: 查询用时:1.271秒
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车道保持系统    
相关语句
  lane keeping system
    Vehicle Lane Keeping System Control with BP Neural Network
    汽车车道保持系统的BP神经网络控制
短句来源
    According to the nonlinear and parameter time-varying characteristics of vehicle lateral dynamics, a novel vehicle lane keeping system’s adaptive PID control algorithm with BP neural network was proposed, based on the ability that BP neural network can approach any nonlinear function and driver handling behavior.
    针对汽车侧向动力学的强非线性且参数时变特性,利用神经网络对任意非线性函数的逼近能力,并结合驾驶员操纵行为特性,建立了基于BP神经网络的汽车车道保持系统的自适应PID控制算法。
短句来源
  lane keeping system
    Vehicle Lane Keeping System Control with BP Neural Network
    汽车车道保持系统的BP神经网络控制
短句来源
    According to the nonlinear and parameter time-varying characteristics of vehicle lateral dynamics, a novel vehicle lane keeping system’s adaptive PID control algorithm with BP neural network was proposed, based on the ability that BP neural network can approach any nonlinear function and driver handling behavior.
    针对汽车侧向动力学的强非线性且参数时变特性,利用神经网络对任意非线性函数的逼近能力,并结合驾驶员操纵行为特性,建立了基于BP神经网络的汽车车道保持系统的自适应PID控制算法。
短句来源
  lane keeping system
    Vehicle Lane Keeping System Control with BP Neural Network
    汽车车道保持系统的BP神经网络控制
短句来源
    According to the nonlinear and parameter time-varying characteristics of vehicle lateral dynamics, a novel vehicle lane keeping system’s adaptive PID control algorithm with BP neural network was proposed, based on the ability that BP neural network can approach any nonlinear function and driver handling behavior.
    针对汽车侧向动力学的强非线性且参数时变特性,利用神经网络对任意非线性函数的逼近能力,并结合驾驶员操纵行为特性,建立了基于BP神经网络的汽车车道保持系统的自适应PID控制算法。
短句来源
  lane keeping system
    Vehicle Lane Keeping System Control with BP Neural Network
    汽车车道保持系统的BP神经网络控制
短句来源
    According to the nonlinear and parameter time-varying characteristics of vehicle lateral dynamics, a novel vehicle lane keeping system’s adaptive PID control algorithm with BP neural network was proposed, based on the ability that BP neural network can approach any nonlinear function and driver handling behavior.
    针对汽车侧向动力学的强非线性且参数时变特性,利用神经网络对任意非线性函数的逼近能力,并结合驾驶员操纵行为特性,建立了基于BP神经网络的汽车车道保持系统的自适应PID控制算法。
短句来源

 

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  lane keeping system
In the event that all of these warnings fail, a lane keeping system should take control of the vehicle.
      
  lane keeping system
In the event that all of these warnings fail, a lane keeping system should take control of the vehicle.
      
  lane keeping system
In the event that all of these warnings fail, a lane keeping system should take control of the vehicle.
      
  lane keeping system
In the event that all of these warnings fail, a lane keeping system should take control of the vehicle.
      
  其他


According to the nonlinear and parameter time-varying characteristics of vehicle lateral dynamics, a novel vehicle lane keeping system’s adaptive PID control algorithm with BP neural network was proposed, based on the ability that BP neural network can approach any nonlinear function and driver handling behavior. The simulation results under different velocities and road situations show this algorithm can effectively control vehicle to run according to the pre-given trajectory, and have good robustness and adaptability...

According to the nonlinear and parameter time-varying characteristics of vehicle lateral dynamics, a novel vehicle lane keeping system’s adaptive PID control algorithm with BP neural network was proposed, based on the ability that BP neural network can approach any nonlinear function and driver handling behavior. The simulation results under different velocities and road situations show this algorithm can effectively control vehicle to run according to the pre-given trajectory, and have good robustness and adaptability for the change of velocity and road curvature.

针对汽车侧向动力学的强非线性且参数时变特性,利用神经网络对任意非线性函数的逼近能力,并结合驾驶员操纵行为特性,建立了基于BP神经网络的汽车车道保持系统的自适应PID控制算法。不同车速和路况的仿真结果表明,该控制算法可有效地控制汽车按照预期轨迹行驶,且对车速和道路曲率的变化具有较强的适应性和鲁棒性。

An improved algorithm,i.e.the limited time optimal preview lateral control algorithm,is presented.According to the control requirements of highway lane keeping system,the limited time quadratic performance index function is used.The optimal tracking algorithm is adopted and the lane curvature is assumed to be constant within the previewed distance,so the parameters of controller can be solved offline and the real time control of vehicles is ensured.The results of simulation and testing show that the preview...

An improved algorithm,i.e.the limited time optimal preview lateral control algorithm,is presented.According to the control requirements of highway lane keeping system,the limited time quadratic performance index function is used.The optimal tracking algorithm is adopted and the lane curvature is assumed to be constant within the previewed distance,so the parameters of controller can be solved offline and the real time control of vehicles is ensured.The results of simulation and testing show that the preview controller can obtain good performances in lane tracking.

提出了有限时间最优预瞄横向控制算法,根据高速公路车道保持系统实际控制要求,使用了同时考虑车辆当前偏差、预瞄点偏差和控制变量的有限时间二次型性能指标函数。运用最优跟踪算法并进行预瞄距离内曲率恒定的假设,使得控制器参数可以离线求解,保证了车辆控制的实时性。通过仿真及实车试验验证,该控制算法具有较好的跟踪效果。

 
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