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Optimal Regulation for Dynamic Hybrid Systems Based on Dynamic Programming in the Case of an Intelligent Vehicle Drive Assistant

机译:智能车辆驾驶辅助系统中基于动态规划的动态混合动力系统最优调节

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This contribution proposes an application of an optimisation algorithm to be implemented in an intelligent drive assistant. A vehicle dynamic model is introduced and after the characterisation of its considered nonlinearities some elements of the background concerning "Dynamic Programming" are given together with the proposed algorithm. A two-point boundary value optimization problem in term of velocity is proposed with its solution using the well-known "Dynamic Programming" method. The novelties of this approach consists of a technique which leads to a global optimum. In fact, this technique searches throughout the whole state-space for it. Because of the nonlinearity of the considered problem, using numerical methods seems to be the only way solving it. Using "Dynamic programming" such kind of a complex problem is solved by dividing it into a collection of simpler subproblems. At the end, an optimal feedback controller for the angular position of the throttle valve of the engine is proposed. Simulation results are discussed together with possible application aspects such as "Curse of Dimensionality" and an explicit analysis concerning the calculation effort.
机译:该贡献提出了将在智能驾驶助手中实现的优化算法的应用。介绍了一种车辆动力学模型,并在考虑了其所考虑的非线性特性后,给出了与“动态规划”有关的背景要素,并给出了所提出的算法。提出了一种基于速度的两点边值优化问题,并使用著名的“动态规划”方法进行了求解。这种方法的新颖性在于一种导致全局最优的技术。实际上,该技术在整个状态空间中进行搜索。由于所考虑问题的非线性,使用数值方法似乎是解决问题的唯一方法。通过使用“动态编程”,可以将此类复杂问题分解为一系列更简单的子问题来解决。最后,提出了一种用于发动机节气门角度位置的最优反馈控制器。讨论了仿真结果以及可能的应用方面,例如“维数诅咒”以及有关计算工作量的明确分析。

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