摘要
在网络控制系统中由于网络带宽的限制,不可避免地使网络系统产生网络诱导时延,从而导致系统性能下降甚至不稳定。文章针对延时不确定使得Smith预估补偿控制效果差的问题,提出了新的Smith补偿控制算法,根据控制器反馈信息对网络延时进行动态补偿,并与模糊PI控制方法相结合,构成Smith预估模糊PI控制器,使得闭环控制系统即使在模型失配的情况下,仍具有较高的稳定性、较强的鲁棒性。仿真结果表明,该方法可行有效。
Due to the bandwidth constraint, the network inevitably induces time delay in the network control system ,which has advert effects of the network closed-loop control systems such as performance degradation and system destabilization. Aiming at the problem that uncertain delay makes control effect bad of Smith estimation compensator, modified Smith algorithm was proposed, which implements dynamic delay compensation for network with feedback information of controller. Fuzzy PI control was also combined to constitute a Smith estimation and fuzzy PI controller. The obtained controller made closed-loop system have good performance and high robustness in case of model miss-matching. Simulation result showed that the proposed method is effective.
出处
《工矿自动化》
北大核心
2006年第3期11-14,共4页
Journal Of Mine Automation
基金
国家自然科学基金资助项目(60374066)
江苏省现代教育技术课题(2005-R-805)
南通市科学技术带头人培养基金项目资助课题
关键词
网络控制器
动态补偿
时延
Smith预估
模糊PI控制
network controller, dynamic compensation, time delay, Smith estimation, fuzzy PI control
