网络化预测控制系统的设计,分析与实时实现

刘国平; 孙健; 赵云波

doi:10.3724/SP.J.1004.2013.01769

网络化预测控制系统的设计,分析与实时实现

doi: 10.3724/SP.J.1004.2013.01769

1.
南威尔士大学庞特普里 CF37 1DL;
2.
哈尔滨工业大学哈尔滨 150001;
3.
北京理工大学北京 100081;
4.
帝国理工大学伦敦 SW7 2AZ

基金项目:

Supported by National Natural Science Foundation of China (61273104, 61021002, 61104097), and Projects of Major Interna- tional (Regional) Joint Research Program National Natural Science Foundation of China (61120106010)

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- 被引次数: 0
出版历程
- 收稿日期: 2013-07-08
- 修回日期: 2013-08-31
- 刊出日期: 2013-11-20

Design, Analysis and Real-time Implementation of Networked Predictive Control Systems

1.
School of Engineering, University of South Wales, Pontypridd CF37 1DL, UK;
2.
Center for Control Theory and Guidance Tech-nology Center, Harbin Institute of Technology, Harbin 150001, China;
3.
School of Automation, Beijing Institute of Technology, Beijing 100083, China;
4.
Department of Chemical Engineering, Imperial College, London SW7 2AZ, UK

Funds:

摘要

摘要: 采用预测控制策略, 讨论网络化控制系统的设计, 分析与实时实现. 对网络化控制系统的特点进行详细分析, 表明网络化控制系统与传统的控制系统有很大的不同. 为了达到期望的闭环网络化控制系统的性能, 引入网络化预测控制方案, 并对网络化预测控制系统的设计、稳定性分析和实时实现进行深入研究. 本文采用仿真和实际实验, 展示网络化预测控制方案可以弥补随机网络通信延迟和数据丢失、达到期望的控制性能、并具有良好的闭环系统稳定性.
- 网络化控制系统 /
- 网络化预测控制 /
- 实时实现
Abstract: This paper is concerned with the design, analysis and real-time implementation of networked control systems using the predictive control strategy. The analysis of the characteristics of networked control systems is detailed, which shows that a networked control system is much different from conventional control systems. To achieve the desired performance of closed-loop networked control systems, the networked predictive control scheme is introduced. The design, stability analysis and real-time implementation of networked predictive control systems are studied. It is illustrated by simulations and practical experiments that the networked predictive control scheme can compensate for random network communication delay and data dropout, achieve desired control performance and have good closed-loop stability.
- Networked control systems /
- networked predictive control /
- real-time implementation

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