【摘要】 针对复杂工业过程控制,提出一种基于T-S模糊模型的预测控制方法,从参考轨迹和可测的过程变量提取特征信息,并利用最优控制理论,构成了具有模糊模型的纯滞后预测控制系统。经过跟踪调节和定值干扰调节实验仿真,仿真结果表明基于T-S模糊模型的预测控制方法的有效性和可行性,系统的跟踪效果良好,调节品质优于单纯的线性调节器。更多还原

【Abstract】 Aimed at complex industry process control, A new predictive control approach based on T-S fuzzy model is developed. Obtained characteristic information by using reference trace and measurable process variable, In terms of optimal control theory, Pure- delay predictive control system is constructed with fuzzy model. According to tracking adjustment simulation and set-point values disturbances adjustment simulation, The results show that the predictive control approach is effective and feasible based on T-S fuzzy model. It is verified that the system has good tracking result and adjustment quality is obviously better than pure linear conditioner.更多还原