摘要
为了提高航煤质量系统的控制效果,提出了一种基于局部模型的模糊预测控制策略。首先,分别采用模糊C-均值方法和正交最小二乘方法对T-S模型进行辨识;其次,将辨识后的线性多项式与CARIMA模型多项式的系数相对应,得到模糊预测模型;最后,为降低控制算法的复杂性,采用基于局部模型的模糊预测控制（TS-GPC）求解控制律。仿真结果表明,本文所提出的控制策略不但能够减小计算量,而且能够使航煤质量系统的性能得到改善。
In order to improve the control effect of the aviation kerosene＇s quality system,a fuzzy predictive control strategy based on local model is proposed for the product quality. Firstly,the parameters of T-S model are identified by using the fuzzy C-means and the orthogonal least square method. Secondly,the fuzzy predictive model is obtained by corresponding the linear polynomial of the conclusion and CARIMA model. Finally,in order to reduce the complexity of the control algorithm,the fuzzy predictive control（ TS-GPC） based on the local model is used to solve the control law. The simulation results show that the proposed control strategy can not only reduce the computation quantity,but also can improve the performance of the aviation kerosene＇s quality system.
出处
《自动化与仪器仪表》
2016年第6期52-54,共3页
Automation & Instrumentation
基金
国家自然科学基金资助项目(61203021)
关键词
航煤质量系统
T-S模糊模型
广义预测控制
aviation kerosene＇s quality system
T-S fuzzy model
generalized predictive control
