Predictive fuzzy PID control for complex processes

被引：0

作者：

Lu, JL ^{[1
]}

Ranganathan, RS ^{[1
]}

Chen, GR ^{[1
]}

Malki, HA ^{[1
]}

机构：

[1] Univ Houston, Dept Elect & Comp Engn, Houston, TX 77204 USA

来源：

NINTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2000), VOLS 1 AND 2 | 2000年

关键词：

fuzzy PID; predictive control; optimal cost index; time delay;

D O I：

暂无

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 structure of predictive fuzzy PID Controller is proposed. The new controller is robust and effective in controlling higher order and time-delayed complex processes. The proposed predictive fuzzy PID controller combines the fuzzy PID and Generalized Predictive Control (GPC) ideas together, and is equipped with optimization capability that minimizes a cost function. These features make the new controller more effective than individual fuzzy PID and GPC controllers in handling nonlinear systems. Computer simulations are shown for various types of process stabilization and set point tracking problems.

引用

页码：544 / 548

页数：5

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