Model-free Adaptive PI predictive control for a class of nonlinear SISO systems

被引：0
|
作者：
Li, Xiaoke [1 ]
Li, Hongxin [1 ]
Wei, Yaohua [1 ]
机构：
[1] Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China
来源：
2015 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS IHMSC 2015, VOL I | 2015年
关键词：
MFAPIPC; PI control; MFAC; pseudo-partial-derivatives; multi-level recursive prediction;
D O I：
10.1109/IHMSC.2015.145
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a new predictive control scheme named model-free adaptive PI predictive control (MFAPIPC) is proposed for a class of nonlinear SISO systems, which is the combination of an adaptive PI control algorithm and the model-free adaptive control (MFAC). In this work, the model-free is designed by pseudo-partial-derivatives (PPD) which is predicted using the multi-level recursive prediction algorithm, and PI control algorithm is extended by using general predictive control. The results of the simulation show that MFAPIPC is an excellent control scheme.
引用
收藏
页码：101 / 104
页数：4
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