Identification and control of power plant de-superheater using soft computing techniques
作者： Ali Ghaffari , Ali Reza Mehrabian , Morteza Mohammad-Zaheri
DOI: 10.1016/J.ENGAPPAI.2006.06.006
关键词: Superheater 、 Control engineering 、 Fuzzy control system 、 Soft computing 、 PID controller 、 Computer science 、 Temperature control 、 Control theory 、 Turbine 、 Robustness (computer science) 、 Power station
摘要: Tight turbine steam temperature control is a necessity for obtaining long lifetime, high efficiency, load following capability and availability in power plants. The present work reports systematic approach the strategy design of plants with non-linear characteristics. presented developed based on optimized PI genetic algorithms (GAs) investigates performance robustness GA-based controller (GAPI). In order to controller, an effective neuro-fuzzy model de-superheating process recorded data. Results indicate successful identification high-order as well improvements controller.
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