基于Laguerre函数模型的大纯滞后系统预测控制

PREDICTIVE CONTROL FOR LARGE DEADTIME PLANTS BASED ON LAGUERRE FUNCTION MODEL

分析了Laguerre函数模型的特点 ,将系统的大纯滞后划分为已知和不确定两部分 ,这会大大减少Laguerre函数模型的参数。给出了基于Laguerre函数模型的自适应单值预测控制算法。仿真结果表明 ,该算法对大纯滞后系统的控制非常有效 ,鲁棒性好 ,仅需要很少的先验信息 ,计算量小 。

The large deadtime of plant was divided into two parts of the known and unknown ones. This division may greatly reduce the number of parameters in the Laguerre function model. An adaptive single predictive control algorithm based on the Laguerre function model was proposed. Simulation results show that this algorithm is very effective for controlling plants with large deadtime and has good robust for mismatch of the model, especially for the deadtime mismatch. The algorithm needs a few priors information only. Its computation is very simple, and it is easy to be applied in engineering.