Predictive fuzzy PID control for temperature model of a heating furnace

被引：0

作者：

Wang, Yuzhong ^{[1
]}

Zou, Hongbo ^{[1
]}

Tao, Jili ^{[2
]}

Zhang, Ridong ^{[3
]}

机构：

[1] Hangzhou Dianzi Univ, Informat & Control Inst, Key Lab IOT & Informat Fusion Technol Zhejiang, Hangzhou 310018, Zhejiang, Peoples R China

[2] Zhejiang Univ, Ningbo Inst Technol, Ningbo 315100, Zhejiang, Peoples R China

[3] Hong Kong Univ Sci & Technol, Chem & Biomol Engn Dept, Hong Kong, Hong Kong, Peoples R China

来源：

PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年

关键词：

Predictive functional control; fuzzy control; PID control; temperature regulation; REAL-TIME IMPLEMENTATION; FUNCTIONAL CONTROL; LIQUID-LEVEL; FUEL-CELLS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In conventional PID scheme, the ensemble control performance may be unsatisfactory due to limited degrees of freedom. Based on such backgrounds, a novel PID control that inherits the advantages of fuzzy PID control and predictive functional control (PFC) is proposed and tested on the temperature model in a heating furnace in this paper. On the basis of the framework of PFC, the fuzzy PID control is introduced to acquire the optimal control law, then an improved PID control strategy is obtained. Finally, the case study on a temperature model of a heating furnace demonstrates the effectiveness of the proposed PID control scheme in comparison with the conventional PID control and the fuzzy self-adaptive PID control.

引用

页码：4523 / 4527

页数：5

共 24 条

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