【摘要】 为了进一步提高板带热轧厂厚控精度及控制品质,需对具有非线性、强耦合、不确定、多约束特性的活套系统建立工程上适用的数学模型,以实现活套高度与张力系统的解耦控制.在分析其动态耦合过程的基础上,考虑到实际的活套系统在工作过程中变量的变化离其稳态工作点的偏差很小,以实际热轧现场数据为依据,给出了完整的传递函数表达形式. 采用线性预测模型的BP神经网络PID控制策略以减弱系统的耦合影响,以提高控制效果.仿真结果验证了本算法的有效性,表明解耦后的活套控制系统可获得更好的控制效果.更多还原

【Abstract】 A looper system possesses strong nonlinear, strong coupling, uncertain and multi-constrained features. For improving automatic gauge control accuracy and quality in hot strip mills, an appropriate mathematical model ought to be built so as to complete the decoupling control of loopers’ height and tension system. According to the little signal theory, whole transferring functions of the looper system were presented by analyzing its coupling process and practical data. The control strategy of prediction for a linear model based on BP-PID was introduced to improve control effect and to decouple the looper system. The simulated results showed the effectiveness of this algorithm and after decoupled, the loopers’ control performance got much better.更多还原