Predictive fuzzy PID control for temperature model of a heating furnace

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 mod...

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Bibliographic Details
Published in2017 36th Chinese Control Conference (CCC) pp. 4523 - 4527
Main Authors Yuzhong Wang, Hongbo Zou, Jili Tao, Ridong Zhang
Format Conference Proceeding
LanguageEnglish
Published Technical Committee on Control Theory, CAA 01.07.2017
Subjects
Furnaces
Fuzzy control
Niobium
PD control
PI control
PID control
Predictive functional control
Predictive models
Temperature control
temperature regulation
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Summary: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.
ISSN:2161-2927
DOI:10.23919/ChiCC.2017.8028070