一种在线辨识扰动模型的MPC控制器及其在溶剂脱水塔装置中的应用

提出一种滚动时域伪线性回归（MHPLR）算法，不仅降低了算法对检测噪声的敏感程度，而且无须在线求解优化命题，计算负担小。利用MHPLR在线估计一个时间序列模型来描述DMC控制系统不可测扰动的动态特性。将对扰动的预报应用到DMC算法当中，以改善因原误差校正策略而导致的抗扰性能不佳的情况，并以状态空间形式给出了改进后DMC算法的表达式。将改进的DMC控制器应用到某公司的PTA溶剂脱水塔装置上，提升了控制品质，稳定了生产并降低了酸耗。算法的有效性得到了验证。

MPC with on-line disturbance model estimation and its application to PTA solvent dehydration tower

A moving horizon pseudo-linear regression（MHPLR）method is proposed which is more robust than the original PLR in noisy environment，and requires no on-line optimization. Utilizing the proposed MHPLR，a time series model was recursively estimated on-line to describe the dynamics of the unmeasured disturbances in DMC control system. And the original DMC algorithm was modified in terms of the disturbance prediction. Applied to the PTA solvent dehydration tower，the modified DMC showed effectiveness and efficiency in improving the control performance and reducing the cost.