纸机先进控制算法研究

提出了纸机定量水分集散控制系统的软硬件整体控制方案，并采用前馈解耦、前馈补偿及串级控制等手段。有效克服了纸页生产过程中普遍存在的水分定量耦合、纸浆浓度变化及蒸汽压力波动等不利因素对纸机控制的影响，针对系统存在大纯滞后等特点，在主控制器中同时实现了广义预测控制、动态矩阵控制及改进的Smith预估等先进控制算法，并有效解决了上述各种控制模式（包括手动、PID等常规控制模式）间的快速无扰动切换问题，通过仿真实验，证明了各控制模式及快速切换算法的有效性，将上述控制方案及算法应用于1760型纸机，控制性能明显提高，同时有效降低了水分与定量偏差，断纸现象也大大减少。

Advanced Control for Paper Machines

The DCS control scheme of basis weight and moisture content for paper machine is presented. The feedforward decoupling, feedforward compensation and cascade control structure are used to deal with the severe coupling and disturbances from paper pulp and steam pressure. Considering the large dead time in papermaking processes, three advanced controllers, i.e. modified Smith predictor, DMC and GPC are installed in the system. The techniques of concise and fast bumpless transfer between these control modes (including manual control, PID control) are also developed. Simulation examples and practical applications carried out on Type 1760 paper machines verify the performance of the proposed control strategies which have not only decreased the variance of moisture and basis weight of the manufactured paper but also reduced the paper break occurrence.