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基于安全传输策略的网络化预测控制系统设计
引用本文:魏世勇,尉思谜,杨志涛. 基于安全传输策略的网络化预测控制系统设计[J]. 北京科技大学学报, 2017, 39(9). DOI: 10.13374/j.issn2095-9389.2017.09.014
作者姓名:魏世勇  尉思谜  杨志涛
作者单位:中南大学信息科学与工程学院,长沙,410083
基金项目:中南大学资助项目,中南大学中央高校基本科研业务费专项资金资助项目
摘    要:为确保网络控制系统中传输数据的完整性、实时性、机密性和可用性,提高系统对抗数据攻击的能力,提出了一种基于MD5散列码、时间戳和AES加密算法的数据安全传输策略,该策略兼顾了系统中控制器端和被控对象端数据传输的安全性和实时性.并从控制策略的角度出发,考虑在系统遭受到数据攻击后,采用基于网络回路时延的网络预测控制方法对数据攻击进行补偿,使系统在受到一定强度的数据攻击后仍然能够进行稳定的控制,从而提高网络控制系统应对攻击的能力.采用S100-1实训平台管道压力控制系统验证了基于安全传输策略的网络化预测控制系统有较好的安全性和抗数据攻击能力.

关 键 词:网络控制系统  安全传输策略  预测控制  数据攻击

Design of networked predictive control system based on secure transmission strategy
WEI Shi-yong,WEI Si-mi,YANG Zhi-tao. Design of networked predictive control system based on secure transmission strategy[J]. Journal of University of Science and Technology Beijing, 2017, 39(9). DOI: 10.13374/j.issn2095-9389.2017.09.014
Authors:WEI Shi-yong  WEI Si-mi  YANG Zhi-tao
Abstract:To ensure the integrity, real-time performance, confidentiality and usability of data transmission in networked control systems and improve the ability of the system against data attacks, a data transmission strategy based on the MD5 hash code, time stamp, and AES encryption algorithm was proposed. This strategy takes into account the security and real-time of data transmission of both the controlled object side and the controller side of the networked control system. And the networked predictive control based on round trip time delay was used to compensate for the effect on the system after it had been attacked by data, so that the system can be stably controlled after being attacked by some intensity of data and also achieves a better control effect, thereby improving the ability of network control systems to deal with attacks. The S100-1 training platform pipeline pressure control system is used to prove that the proposed networked predictive control system based on the secure transmission strategy has better security and anti-attack ability.
Keywords:networked control system  secure transmission strategy  predictive control  data attack
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