基于统计信息集的非高斯系统多目标优化控制及性能评估策略研究

项目名称： 基于统计信息集的非高斯系统多目标优化控制及性能评估策略研究

项目编号： No.61503271

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 自动化技术、计算机技术

项目作者： 任密蜂

作者单位： 太原理工大学

项目金额： 20万元

中文摘要： 本项目以非高斯随机分布控制系统为研究对象，基于统计信息集的概念，研究系统在同时满足多个性能指标要求下的Pareto最优控制解集，在此基础上对控制系统回路进行性能评估，从而能够尽早识别、诊断控制系统的性能，采取相应的应对措施。本项目旨在建立一套完整的非高斯随机系统多目标优化控制和性能评估理论框架，并在烟气余热利用控制系统上验证研究成果。本项目主要内容包括：1）非高斯随机系统输入输出再生模型的建立；2）以统计信息集为基础，分析并建立非高斯随机控制系统的性能指标函数；3）分别从解析和数据驱动框架下研究非高斯随机系统的多目标最优控制器设计方法；4）建立基于统计信息集的非高斯随机系统性能评估新基准；5）实验验证上述研究成果。本项目的研究对解决非高斯随机系统的多目标优化控制和性能评估问题不仅具有重要的学术参考价值，还具有广阔的应用前景。

中文关键词： 非高斯系统；多目标优化控制；性能评估；统计信息集

英文摘要： In order to satisfy multiple objectives simultaneously during the control system design, Pareto optimal control strategies are studied based on the statistical information set for non-Gaussian systems in this project. Furthermore, performances of control loops are evaluated so as to identify and diagnose the control performance as soon as possible. The purpose here is to formulate a theoretical framework of multi-objective optimal control and performance assessment for non-Gaussian stochastic systems. Moreover, the proposed research results will be tested on the waste heat recovery control system. The main tasks in this project include: 1) Establish input and output regeneration system model for non-Gaussian stochastic systems; 2) Formulate performance index functions using the statistical information set; 3) Multi-objective optimal controller design strategies will be studied in the analytical and data-driven framework respectively; 4) A novel statistical-information-set based benchmark for assessing control performance of non-Gaussian stochastic systems will be built; 5) Verify the proposed multi-objective control and control performance assessment strategies. This research project has not only the very important academic value, but also has the wide application prospect for solving the multi-objective optimal control and performance assessment problems of non-Gaussian stochastic systems.

英文关键词： non-Gaussian systems;multi-objective optimal control;performance assessment;statistical information set