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Application of Local Linear Steering Models with Model Predictive Control for Collision Avoidance Maneuvers

机译:具有模型预测控制的局部线性转向模型在避碰机动中的应用

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Collision avoidance systems demand sophisticated control algorithms to ensure driving on a safe preplanned path. Model predictive control (MPC) is suitable for this task as different influences can be considered by the algorithm. However MPC requires a model of the plant to guarantee good control characteristics. Especially the task to generate a simple steering model covering the considered range of vehicle dynamics is challenging. In this work a concept for an adaptive steering model is presented. The adaptive steering model is integrated in a model predictive control concept for collision avoidance maneuvers. Simulation results show improvement in prediction quality, while achieving modest improvement in control performance.
机译:防撞系统需要复杂的控制算法,以确保在安全的预定道路上行驶。模型预测控制(MPC)适合此任务,因为算法可以考虑不同的影响。但是,MPC需要工厂模型来保证良好的控制特性。尤其是要生成一个简单的转向模型来覆盖所考虑的车辆动力学范围的任务是具有挑战性的。在这项工作中,提出了自适应转向模型的概念。自适应转向模型集成在模型预测控制概念中,用于避碰机动。仿真结果表明,在改善预测质量的同时,实现了适度的控制性能改善。

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