TY - JOUR
T1 - Identification and control of power plant de-superheater using soft computing techniques
AU - Ghaffari, Ali
AU - Mehrabian, Ali Reza
AU - Mohammad-Zaheri, Morteza
PY - 2007/3
Y1 - 2007/3
N2 - Tight turbine steam temperature control is a necessity for obtaining long lifetime, high efficiency, high load following capability and high availability in power plants. The present work reports a systematic approach for the control strategy design of power plants with non-linear characteristics. The presented control strategy is developed based on optimized PI control with genetic algorithms (GAs) and investigates performance and robustness of the GA-based PI controller (GAPI). In order to design the controller, an effective neuro-fuzzy model of the de-superheating process is developed based on recorded data. Results indicate a successful identification of the high-order de-superheating process as well as improvements in the performance of the steam temperature controller.
AB - Tight turbine steam temperature control is a necessity for obtaining long lifetime, high efficiency, high load following capability and high availability in power plants. The present work reports a systematic approach for the control strategy design of power plants with non-linear characteristics. The presented control strategy is developed based on optimized PI control with genetic algorithms (GAs) and investigates performance and robustness of the GA-based PI controller (GAPI). In order to design the controller, an effective neuro-fuzzy model of the de-superheating process is developed based on recorded data. Results indicate a successful identification of the high-order de-superheating process as well as improvements in the performance of the steam temperature controller.
KW - Fuzzy systems
KW - Genetic algorithms
KW - Industrial power systems
KW - Neuro-fuzzy identification
KW - Temperature control
UR - http://www.scopus.com/inward/record.url?scp=33751417312&partnerID=8YFLogxK
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U2 - 10.1016/j.engappai.2006.06.006
DO - 10.1016/j.engappai.2006.06.006
M3 - Article
AN - SCOPUS:33751417312
SN - 0952-1976
VL - 20
SP - 273
EP - 287
JO - Engineering Applications of Artificial Intelligence
JF - Engineering Applications of Artificial Intelligence
IS - 2
ER -