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SMOOTHED AND REGULARIZED FISCHER-BURMEISTER SOLVER FOR EMBEDDED REAL-TIME CONSTRAINED OPTIMAL CONTROL PROBLEMS IN AUTONOMOUS SYSTEMS

机译:自治系统中嵌入式实时约束最优控制问题的平滑和调节FISCHER-BURMEISTER求解器

摘要

To provide a system for controlling an autonomous vehicle.SOLUTION: The present invention relates to a system for controlling an autonomous vehicle. The system includes a controller. At each sampling time, the controller inputs sensor values and estimators that are calculated based on the sensor values and dynamic models and records the sensor values and the estimators in a memory of the controller. The controller incorporates the sensor values and the estimators into conditions for optimality associated with a constrained optimal control problem, maps the conditions for optimality to a non-smooth system using a Fischer-Burmeister function, performs Newton method iterations on a smoothed system approximating the non-smooth system to converge on a solution, and issues commands that control actuators during vehicle operation.SELECTED DRAWING: Figure 7
机译:提供一种用于控制自动驾驶车辆的系统。解决方案:本发明涉及一种用于控制自动驾驶车辆的系统。该系统包括控制器。在每个采样时间,控制器输入基于传感器值和动态模型计算出的传感器值和估算器,并将传感器值和估算器记录在控制器的内存中。控制器将传感器值和估计量合并到与约束最优控制问题相关的最优条件中,使用菲舍尔-伯米斯特函数将最优条件映射到非光滑系统,在平滑系统上执行牛顿法迭代,逼近非-平滑的系统,以收敛于解决方案,并发出在车辆运行期间控制执行器的命令。图7

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