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Optimal control of switched/hybrid systems with applications to the control of hybrid electric vehicles.

机译：开关/混合系统的最优控制，应用于混合动力汽车的控制。

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摘要

Established at the confluence of control, communication, and computer science, hybrid systems, where discrete (decision making) events interact with continuous or discrete-time processes, are present in many real world applications. For example, in the automotive area, hybrid electric vehicles are equipped with, besides an internal combustion engine, an electric motor-generator drive, a storage battery and a supervisory controller. The dynamic evolution, and therefore the performance, of this hybrid system significantly depends on the discrete decisions of the supervisor such as: the instants of changing the mode of operation of the electric motor-generator, the instants of coupling (decoupling) the internal combustion engine to (from) the drive shaft, etc.; The hybrid system considered in this research consists of a family of dynamical systems and a rule that selects, at each time instant, a member of this family (mode of operation). This research studies a hybrid optimal control problem: determine, if they exist, a sequence of modes of operation and control inputs for each mode that minimize a given performance measure subject to state and input constraints. For example, the optimal control problem for a hybrid electric vehicle is to switch modes for minimizing fuel consumption and pollution subject to constraints on the state of charge of the battery, generated power, and drivability.; The proposed approach is to reformulate the hybrid optimal control problem for a larger family of systems constructed through a continuous parameterization of the original hybrid system. The set of trajectories of the original system being dense in the set of trajectories of the more general system validates the approach. The reformulation allows the application of the classical results of optimal control theory which are not applicable to the original problem. This research shows that the optimal solution of the more general problem solves the hybrid control problem of interest, except in a possible small number of cases when suboptimal trajectories can be constructed by appropriate mode switches.; The technique developed in this research is used at the supervisory level of a hierarchical control strategy for a hybrid electric vehicle. At this level, the optimal control problem uses a hybrid power flow model capturing the two modes of operation of the electric motor-generator; the results are reference power inputs for each subsystem of the vehicle.
机译：建立在控制，通信和计算机科学相融合的混合系统中，在许多实际应用中都存在离散（决策）事件与连续或离散时间过程相互作用的情况。例如，在汽车领域中，混合动力电动汽车除了内燃机之外还配备有电动发电机驱动器，蓄电池和监督控制器。该混合动力系统的动态演变以及相应的性能在很大程度上取决于管理者的离散决策，例如：改变电动发电机运行模式的时刻，耦合（解耦）内燃机的时刻。发动机（从）到驱动轴等；本研究中考虑的混合系统包括一个动力学系统族和一个规则，该规则在每个时刻选择该族的一个成员（操作模式）。这项研究研究了一个混合最优控制问题：确定是否存在一系列操作模式和每种模式的控制输入，以最大程度地减少受状态和输入约束的给定性能指标。例如，混合动力电动汽车的最佳控制问题是在限制电池的充电状态，产生的功率和驾驶性能的情况下，切换模式以最小化燃料消耗和污染。所提出的方法是为通过初始混合系统的连续参数化构造的更大系列系统重新制定混合最优控制问题。在更通用的系统的轨迹集中密集的原始系统的轨迹集验证了该方法。重新制定允许应用最优控制理论的经典结果，而经典结果不适用于原始问题。研究表明，除了可能的少数情况下，可以通过适当的模式开关构建次优轨迹的情况以外，更一般问题的最优解决方案可以解决感兴趣的混合控制问题。本研究开发的技术用于混合动力电动汽车分级控制策略的监控级别。在此级别上，最佳控制问题使用混合动力流模型，该模型捕获了电动发电机的两种运行模式；结果是车辆每个子系统的参考功率输入。

著录项

  • 作者

    Bengea, Sorin C.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2004
  • 页码 154 p.
  • 总页数 154
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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