Discrete and Continuous Dynamical Systems - S· 2015Q2
Intelligent control model and its simulation of flue temperature in coke oven
- 27citations
- Q2SCImago
- 2015year
Short summary
A compound Fuzzy-PID control strategy effectively improves coke oven flue temperature stability, showing faster response and stronger anti-interference than conventional PID.
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Key points
- A compound Fuzzy-PID control strategy was developed for coke oven flue temperature.
- The strategy integrates fuzzy control and PID control algorithms.
- Simulations showed the compound Fuzzy-PID offers faster response and stronger anti-interference than conventional PID.
- The new strategy enhances system adaptability and robustness.
AI-generated from the title and abstract; the full text is not read.
Abstract
In this paper, one-variable linear regression mathematical model of top of regenerator temperature and flue temperature in machine side is built using the linear regress theory. The parameters of ARX model is determined by identification method of least square method and the mathematical model of flue temperature control is established. Applying the basis cascade control theory, system adopts flue temperature and coal flue gas flow as controlled parameters of host circuit and subsidiary circuit respectively. The compound Fuzzy-PID control strategy is presented combined with the characteristics of temperature system after analyzing the conventional PID control algorithm and fuzzy control algorithm. Using step signal and periodic signal to simulate the conventional PID and compound Fuzzy-PID algorithm, the result has indicated: Compound Fuzzy PID control algorithm combines with the advantages of fuzzy control and PID control algorithm, including fast response speed and strong anti-interference ability. When external conditions change, the fuzzy PID compound control can show the strong adaptability and robustness which effectively improve the stability of the control system.
The authors' abstract, as published at the source. Discrete and Continuous Dynamical Systems - S, 2015 · DOI ↗
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Field: Fuel Technology
Fuel TechnologyEnergy