基于自适应模糊策略的打浆功率加权优化控制

主要研究造纸生产线上打浆过程的最优控制问题。针对打浆功率控制系统中存在的非线性、时变性、时滞性和严重的噪声干扰，及所造成的系统动、稳态性能差和最优工作点漂移的问题，提出一种具有优化和自适应调节功能的新型模糊控制策略。以功率误差和控制输出改变量的加权平方和为优化目标函数进行优化计算；根据优化结果在线调整基础模糊控制级中的模糊推理运算，以实现打浆质量的优化和过渡过程的平稳。研究表明，该方法能够使打浆能耗降低、纤维切断减少、帚化程度增加，使浆张质量的诸多物理性质普遍提高，系统稳定性和鲁棒性增强。

Weighted Optimization and Control of Pulp Refining Power Based on Adaptive Fuzzy Algorithm

Considering the problems in the power control system of pulp refining including the drift of optimum working point and the decline of steady state performance and dynamic performance caused by strong nonlinear, time-variation, time-lag in the model of system, integrated with complex noise interference, an improved Fuzzy control method integrating optimization techniques and adaptive control strategy is proposed. The weighted sum of square average error and absolute variable of controller output are used as optimization object function to conduct optimizing calculation. In view of optimization result fuzzy-inference parameter is tuned adaptively, in order to calm dynamic course and improve pulp quality. Research results showed that this method can decrease energy consumption, increase tensile index, burst index, tear index and wet weight of the refined pulp. And this system has proved its better global robust and stability.