DocumentCode :
3573454
Title :
Main steam temperature control of ultra supercritical unit based on online identification and IMC-PID
Author :
Wang Fuqiang ; Li Xiaoli ; Zhang Qiusheng
Author_Institution :
Sch. of Autom. & Electr. Eng., Univ. of Sci. & Technol. Beijin, Beijing, China
fYear :
2014
Firstpage :
4542
Lastpage :
4547
Abstract :
The main steam temperature is an important parameter to affect the economy and security of the generator. Due to the ultra supercritical units of the large capacity and high parameter, the main steam temperature control must be higher quality. However, main steam temperature of ultra supercritical unit has the characteristics of large time delay and different dynamic characteristics in different operating conditions. In the paper, the cascade control structure is applied. And the sampling period is reasonably selected. The identification mutation and the noise effect are inhibited by the threshold δ. The recursive least squares method with forgetting factor is used to identify the dynamic characteristics of main steam temperature on online. According to the IMC-PID theory, internal model control for main steam temperature is realized. Simulation results show that this algorithm is reliable, simple and easy to understand for the application of field personnel. There are less adjustable parameters (just one). In different conditions, the control quality of main steam temperature is improved, and the temperature deviation control is within 3°C.
Keywords :
cascade control; delays; least squares approximations; temperature control; three-term control; IMC-PID; cascade control structure; field personnel; identification mutation; internal model control; main steam temperature control; online identification; recursive least squares method; sampling period; time delay; ultra supercritical unit; Automation; Educational institutions; Electrical engineering; Intelligent control; Power systems; Temperature; Temperature control; forgetting factor; internal model control; online identification; recursive least squares;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type :
conf
DOI :
10.1109/WCICA.2014.7053479
Filename :
7053479
Link To Document :
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