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为解决多输入系统Wang-Mendel(WM)建模过程中输入量取舍困难和未选用的输入量影响模型精度的问题,通过引入前一时刻输出作为当前时刻输入的一部分对WM建模方法进行了改进;在此基础上建立多步递推模糊预测模型.同时,为了减少有约束预测控制优化的求解时间,提出一种利用模糊控制器分担控制量及控制增量约束的模糊预测复合控制策略.通过对回转窑煅烧温度模型的仿真,验证了建模和控制方法的有效性.
In order to solve the problem of input precision and precision of input in Wang-Mendel (WM) modeling process of multi-input system, the WM modeling method was carried out by introducing the output of the previous time as part of the input at the current time The fuzzy predictive model based on multi-step recursion is established.At the same time, in order to reduce the solving time of constrained predictive control optimization, a fuzzy predictive compound control strategy using fuzzy controller to share control and control incremental restraint is proposed. Through the simulation of rotary kiln calcination temperature model, the effectiveness of modeling and control methods is verified.