Title :
Knowledge-based adaptive fuzzy control of drum level in a boiler system
Author :
VanLandingham, Hugh F. ; Tripathi, Nishith D.
Author_Institution :
Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Abstract :
A boiler system is an integral component of a thermal power plant, and control of the water level in the drum of the boiler system is a critical operational consideration. For the drum level control, a 3-element proportional-integral-derivative (PID) control is a popular conventional approach. This scheme works satisfactorily in the absence of any process disturbances. However, when there are significant process disturbances, the 3-element PID control scheme does not perform well because of lack of knowledge of proper controller gains to cope with such disturbances. Inevitably over time and use, PID controllers get detuned. Hence, there is good motivation to investigate alternatives to this control scheme. Multivariable control of drum boiler systems has been studied by many researchers. However, these approaches assume some process model equations (to a more or less extent) to design a controller. This paper presents a model-free approach in the sense that no plant equations are assumed. The performance of the existing PID control scheme is observed, and collected data is used to gain knowledge about the process. Based on this process knowledge, an intelligent control technique, fuzzy logic control (FLC), is developed. The technique proposed in this paper was tested on a process simulator. This paper shows that an intelligent control scheme such as FLC gives better performance in rejecting process disturbances when compared to 3-element PID control scheme
Keywords :
adaptive control; boilers; control system synthesis; controllers; fuzzy control; intelligent control; level control; multivariable control systems; thermal power stations; three-term control; 3-element proportional-integral-derivative; PID control; boiler system; controller design; drum level; fuzzy logic control; intelligent control; knowledge-based adaptive fuzzy control; multivariable control; process disturbances rejection; thermal power plant; water level control; Adaptive control; Boilers; Control systems; Equations; Fuzzy control; Intelligent control; Performance gain; Power generation; Programmable control; Three-term control;
Conference_Titel :
Southcon/96. Conference Record
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-3268-7
DOI :
10.1109/SOUTHC.1996.535109