网络环境下非线性互联大系统的模糊双曲建模和鲁棒控制研究

项目名称： 网络环境下非线性互联大系统的模糊双曲建模和鲁棒控制研究

项目编号： No.61203026

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 自动化学科

项目作者： 刘鑫蕊

作者单位： 东北大学

项目金额： 25万元

中文摘要： 本项目将研究复杂非线性互联大系统的自学习模糊双曲建模策略及其网络化鲁棒控制方法，拟建立融合网络控制、粗糙集约简、模糊建模与控制等理论的整体系统模型。主要研究内容如下：①考虑不确定、互斥和耦合冗余信息的影响，提出基于直觉不确定粗糙集约简算法的动态自学习模糊双曲模型(FHM)建模策略及实现方法；②设计带有动态缓冲器、网络补偿器的网络控制系统结构和简单实用的补偿网络不确定因素的策略和实施方案；③结合模糊互联大系统的特征，建立鲁棒稳定与网络控制性能指标的联系，形成新的智能鲁棒控制思想。在FHM-based的网络系统控制算法、算法性能及实现方法等方面，提出改善系统鲁棒性能的新方法；④针对传感器、执行器和零阶保持器的不同故障特点，设计独立协调的并行控制，实现在线自适应故障调节和动态FHM-based优化控制相结合的主动可靠鲁棒控制策略；⑤结合分布式多机电力系统的结构特征，开发其网络控制半实物仿真平台。

中文关键词： 非线性互联大系统；网络控制；模糊控制；模糊双曲模型；智能互联电力系统

英文摘要： In this project, the complex nonlinear interconnected large-scale systems with self-learning fuzzy hyperbolic modeling strategy and the networked decentralized control method are investigated. The overall framework integrating multiple theories and technologies is established, which include networked control system, fuzzy modeling and control for nonlinear interconnected large-scale systems. Main research contents are given as follows: ① Considering uncertain, mutually exclusive and coupling redundant informations, dynamic self-learning fuzzy hyperbolic modeling (FHM) strategy and implement method based on intuitionistic uncertainty-rough sets reduction algorithm are proposed; ②Networked control policies with dynamic buffer and network compensation are designed. Simple and useful compensation strategy and implementation method for uncertain network factors are developed; ③ Considering characteristics of fuzzy interconnected large-scale systems, the relation of robust stability and networked control performance index is established, and new intelligent robust control thought is formed. Novel methods are proposed about FHM-based networked controller structure, control algorithms and its implement strategy to improve the control performance for fuzzy interconnected networked control systems; ④ For different failure

英文关键词： nonlinear interconnected large-scale systems；networked control；fuzzy control；fuzzy hyperbolic model；smart interconnected power systems