摘要
卷绕系统中很多参数具有非线性和时变性,这些参数(如卷辊半径)增加了张力控制难度。根据智能控制中的专家推理策略和控制理论中的状态观测器设计方法,给出了一种由在线特征辩识驱动的多模式状态观测和参数修正的2级耦合式卷绕系统智能张力观测器,并以张力观测值对控制系统实现前馈补偿。仿真和实验结果证明,采用该观测器后,对于系统扰动,张力控制具有较强的鲁棒性,一定范围内主调速辊速度变化对控制系统稳定性影响较小。总之,该方法能较好处理卷绕系统的非线性及时变特性,控制结果较好地满足了工艺要求。
In winding systems many parameters are nonlinear and time-varying. These parameters （such as roller radius） increase the tension control difficulty. According to the expert reasoning strategy in intelligent control field and the state observer design method in control theory, a two-stage coupling intelligent tension observer for winding sys- tems is proposed, which is based on multi-mode online feature identification-driven state observation and parameter tuning; and the tension observation value is used to implement feed-forward compensation for the control systems. Simulation and experiment results indicate that with the proposed intelligent observer, the tension control system possesses strong robustness for the system disturbance and tension control. The velocity variation of the master roller within a certain range has less influence on the control system stability. In brief, the proposed intelligent observer can deal with the nonlinearity and time varying characteristics of winding systems ; and the control performances efficiently fulfill the process requirements.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2012年第10期2349-2355,共7页
Chinese Journal of Scientific Instrument
基金
安徽省高校省级自然科学研究重点项目(KJ2011A029)
安徽省高校省级自然科学研究项目(KJ2012B013)资助
关键词
状态观测器
时变控制系统
卷绕系统
智能控制
state observer
time-varying control system
winding system
intelligent control
