适用于降阶模型的新型多步预测控制算法

基于参数自校正机理在线修正预测模型的广义预测控制（ＧＰＳ）具有自校自控制器的共同问题－对降阶模型存在鲁棒性问题，针对这一问题，在文在文（２－３）的基础上，用频域建模和时域控制相结合的方法，提出了一种对降阶模型鲁棒的新型多步预测控制算法（ＮＬＲＰＣ），该方法的主要思想是，在时域上设计具有较大稳定裕度的加权多步预测控制算法，并得到该算法的稳定裕度的定量结果，再用主要频率特性拟合的方法得到对象的阵阶模型

A New Long-Range Predictive Control Algorithm Based on a Reduced Model

Aim at the problem that GPC has a poor robustness to the reduced order model,we propose a new long-range predictive control algorithm(NLRPC)based on a new idea that is to combine the modelling in frequency domain with the controllor design in time domain in this paper. The main design idea is as follows:by introducing a prefilter in the identification part we have a low order model that is reliable in the selected frequency interval,while it is uncertain in other frequency ranges.The uncertainty could then be fed into the robustness boundary of the weighted long-range predictive controllor,and obtain the robust adaptive NLRPC.Both theoretical analysis and simulation show that NLRPC has a good robustness to the reduced model.