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提出了一种新的基于T_S模糊模型的非线性预测控制策略 .T_S模糊模型用于描述对象的非线性动态特性 ,通过将模糊模型的输出反馈回来作为模型输入 ,从而构成了模糊多步预报器 .由于T_S模糊模型每条规则的结论部分是一个线性模型 ,因此整个模糊模型可以看作一个线性时变系统 ,从而将模糊预测控制器中的非线性优化问题转化为一个线性二次寻优问题 ,以方便求解 .pH中和过程的仿真结果表明其性能优于传统的动态矩阵控制器 .
A new non-linear predictive control strategy based on T_S fuzzy model is proposed.T_S fuzzy model is used to describe the nonlinear dynamic characteristics of the object, and the output of the fuzzy model is fed back as the model input to form the fuzzy multi-step predictor Since the conclusion part of each rule in T_S fuzzy model is a linear model, the whole fuzzy model can be regarded as a linear time-varying system, so that the nonlinear optimization problem in fuzzy predictive controller can be transformed into a linear quadratic optimization problem , To facilitate the solution.PH neutralization process simulation results show that its performance is better than the traditional dynamic matrix controller.