【作者】 刘小梅； 李圣涛； 张侃健； 董秀娟； 井元伟；

【Author】 Liu Xiaomei;Li Shengtao;Zhang Kanjian;Dong Xiujuan;Jing Yuanwei;Key Laboratory of Measurement and Control of CSE, Ministry of Education,School of Automation, Southeast University;School of Information Science & Engineering, Shandong Normal University;School of Information Science & Engineering, Northeastern University;

【机构】 东南大学自动化学院复杂工程系统测量与控制教育部重点实验室； 山东师范大学信息科学与工程学院； 东北大学信息科学与工程学院；

【摘要】 T-S模糊模型作为预测模型得到输出的预估值,利用可得的过程变量对输出预估值进行反馈修正,然后利用最优控制理论,由修正后的预估值和给定值计算出预测控制律.将状态估计器引入基于T-S模糊模型的状态反馈预测控制.估计出不可测状态,解决了在求解状态反馈预测控制律时状态不可观测引起的问题.最后,仿真实例表明了本文方法的有效性.更多还原

【Abstract】 A T-S fuzzy model is used as predictive model to get estimated value of output, and corrects the estimated output value by using the available process variable. Then in terms of optimal control theory, the control law, which is used to control the whole system, is calculated by the corrected estimated value and set-point. State estimator is introduced into state feedback predictive control based on T-S fuzzy model to estimate immeasurable state and solve the problem caused by immeasurable state when solving state feedback predictive control law. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.更多还原