Real-time optimal feedback control of switched autonomous systems
Real-time optimal feedback control of switched autonomous systems
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DOI：
10.3182/20090916-3-es-3003.00020
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
X. Ding;A. Schild;M. Egerstedt;J. Lunze
中科院分区：
文献类型：
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作者：
X. Ding;A. Schild;M. Egerstedt;J. Lunze
摘要针对非线性切换自治系统，提出了一种新的最优自适应反馈控制概念。我们提出的控制器实现了一个闭环切换律，它由状态空间中的一个参数化切换平面来表示。在电厂运行期间，通过在有限时间范围内迭代求解相关的非线性优化问题，使平面参数增量地适应实时的状态测量。将这种控制方法与模型预测控制的思想相结合，得到了实现周期切换系统最优镇定的爬行窗口最优控制方案。
Abstract This paper presents a novel optimal adaptive feedback control concept for nonlinear switched autonomous systems. Our proposed controller implements a closed-loop switching law, which is represented by a parametrized switching plane in the state space. During the plant operation, the plane parameters are incrementally adapted to state measurements in real time by iteratively solving an associated nonlinear optimization problem over a finite time horizon. The combination of this control approach with ideas from model predictive control yields the so-called crawling window optimal control scheme that achieves the optimal stabilization of periodically operated switched systems.