Fuzzy PID Parameters Self-Tuning in the Application of the Furnace Temperature Control System

Autor:	Le Peng Song, Xiao Ming Luo, Zheng Qiang Guan
Rok vydání:	2015
Předmět:	Engineering Temperature control Automatic control business.industry Self-tuning Process (computing) PID controller Control engineering General Medicine Control theory Control system Furnace temperature business Fuzzy pid
Zdroj:	Applied Mechanics and Materials. :849-853
ISSN:	1662-7482
Popis:	According to the set temperature, the parameter self-tuning fuzzy PID control algorithm is used furnace temperature automatic control and fuzzy PID control process to make use of the MATLAB simulation. Simulation results show that compared with conventional PID control, the parameter self-tuning fuzzy PID control algorithm improves the system response, shorten the adjusting time, enhances the disruptive, demonstrate the superiority of the fuzzy PID.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f099493b0cf27b471f55fd47b65cf998 https://doi.org/10.4028/www.scientific.net/amm.713-715.849 Zobrazit plný text záznamu