基于T-S模糊模型的非线性预测控制策略

Nonlinear predictive control strategy based on T-S fuzzy model

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 nonlinear model predictive control (NMPC) strategy based on T_S fuzzy model is proposed. T_S fuzzy model is used to approximate the dynamics of nonlinear processes. By feeding the output of the fuzzy model as the model input in a cascade way, a multi_step fuzzy predictor is derived. Since the conclusion part is linear, the T_S fuzzy model can be treated as a linear time_varying system, the nonlinear program in NMPC turns into a linear quadratic problem that can be easily solved. Simulation result on a pH neutralization process demonstrates its control performance is superior to conventional DMC controller.