Adaptive critic fault tolerant control using dual heuristic programming

G. Yen, P. Lima
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引用次数: 1

Abstract

In this paper a hierarchical architecture that combines a high degree of reconfigurability and long-term memory is proposed as a fault tolerant control algorithm for complex nonlinear systems. Dual heuristic programming (DHP) is used for adapting to faults as they occur for the first time in an effort to prevent the build up of a general failure and also as tuning device after switching to a known scenario. A dynamical database, initialized with as much information of the plant as available, oversees the DHP controller. The decisions of which environments to record, when to intervene and where to switch are autonomously taken based on specifically designed quality indexes. The results of the application of the complete algorithm to a proof-of-the-concept numerical example help to illustrate the fine interrelations between each of its subsystems.
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基于双启发式规划的自适应批评家容错控制
本文提出了一种结合高度可重构性和长期记忆的层次结构作为复杂非线性系统的容错控制算法。双启发式编程(Dual heuristic programming, DHP)用于在第一次发生故障时适应故障,以防止一般性故障的累积,也可作为切换到已知场景后的调优设备。一个动态数据库,用尽可能多的工厂信息初始化,监督DHP控制器。记录哪些环境、何时干预以及在何处切换的决定都是基于专门设计的质量指标自主做出的。将完整的算法应用于一个概念验证的数值例子的结果有助于说明其每个子系统之间的良好相互关系。
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