项目名称: 网络化串级控制系统的线性自抗扰控制与性能优化
项目编号: No.61304041
项目类型: 青年科学基金项目
立项/批准年度: 2014
项目学科: 自动化技术、计算机技术
项目作者: 黄从智
作者单位: 华北电力大学
项目金额: 24万元
中文摘要: 本项目提出线性自抗扰控制的频域分析理论并探索其在网络化串级控制系统控制策略设计与性能优化中的应用。网络化串级控制系统主、副回路中的网络诱导时延一般是时变的,且存在各种扰动,采用现有控制策略改善性能效果有限或工程实现困难。高志强提出的线性自抗扰控制理论适合处理有扰动的时变不确定对象且便于工程实现,但从频域分析其时域具有较强鲁棒性和抗干扰性的根本原因还很少报道。前期研究中,提出任意阶线性自抗扰控制器的传函并发现了线性自抗扰控制器优良频率特性的理论依据,拟提出频域分析理论。采用多分辨率小波分析和Páde近似将主、副回路中时变时延转化为传函形式,确定主、副线性自抗扰控制器整定参数的取值范围,采用变尺度混沌算法优化系统性能,并通过计算机仿真和半实物仿真试验验证所提算法的有效性和鲁棒性。本项目将为线性自抗扰控制理论开辟新的频域分析通道,为网络化串级控制系统控制策略设计与性能优化提供新的思路和方法。
中文关键词: 网络化串级控制系统;网络诱导时延;线性自抗扰控制;频域分析;性能优化
英文摘要: The frequency-domain analysis theory for linear active disturbance rejecton control(LADRC for short) is proposed in this project, and its application in the control strategy designing and performance optimization of networked cascade control systems (NCCSs for short) is also investigated. In the primary and secndary control loops of an NCCS, the network-induced delays are usually time-varying, and there also exist various disturbances. However, with the present control strategies adopted in the primary and secondary controllers of an NCCS, the performance imporvement is limited or they are difficult to implement. The LADRC proposed by Zhiqiang Gao is usually employed to deal with time-varying uncertain processes with disturbances, and it is easy to implement in practical engineering problems. However, the fundamental reason for the strong robustness and excellent disturbance rejection ability of the LADRC in time-domain is seldom reported from the perspective of frequency-domain analysis. In the preliminary research of the project, the transfer function of the arbitrary order LADRC was proposed and the theoretical evidence for the excellent frequency characteristics of the LADRC was discovered, and the frequency-analysis thoery of LADRC will be proposed. The time-varying delays in the primary and secondary loops
英文关键词: networked cascade control system;network-induced delay;linear active disturbance rejection control;frequency-domain analysis;performance optimization