Dynamic Programming Algorithm for Stochastic Logical Systems and Its Application to Residual Gas Fraction Control

Dynamic Programming Algorithm for Stochastic Logical Systems and Its Application to Residual Gas Fraction Control
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DOI：
10.5687/sss.2015.136
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发表时间：
2015-05
期刊：
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影响因子：
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通讯作者：
Yuhu Wu;T. Shen
Yuhu Wu;T. Shen
中科院分区：
其他
文献类型：
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作者：
Yuhu Wu;T. Shen

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本文研究了有限状态随机逻辑动力系统的滚动时域最优控制问题。给出了有限时域最优控制问题的动态规划算法的代数形式。作为应用，本文在随机逻辑动态系统框架下描述了发动机残余气体分数（RGF）的控制问题，以改善发动机性能并抑制循环变化的不平衡。基于RGF的基本物理原理，以可变气门正时（VVT）为控制执行器，提出了一种基于逻辑模型的RGF控制算法。最后，为了证明所提出的控制方案的性能，实验表示。
In this paper, the receding horizon optimal control problem for the stochastic logical dynamical systems with finite state is considered. An algebraic form of dynamic programming algorithm for the finite horizon optimal control problem is given. As an application, the control problem of the residual gas fraction (RGF) in engine is described on the stochastic logical dynamical systems framework to improve engine performance and reject imbalances on cycle-to-cycle variation. Based on the underlying physics of RGF, a logical model-based RGF control algorithm is developed with variable valve timing (VVT) as control actuator. Finally, to demonstrate the performances of the proposed control scheme, the experiment is expressed.