New Type Intelligent Control System Research And Its Application In Power Plant Thermal Process Control

The Intelligent control system and its application in thermal process control are researched in this paper. Firstly, two intelligent control algorithms are proposed: a self-tuning fuzzy PID controller and a fuzzy controller with fine-tuning rule base. Secondly, a fuzzy controller based on performance index is designed, which is suitable for the object with large inertia and delay; considering the variable model of the object in the different set point, a intelligent cascade control system is presented. Thirdly, the on-line learning algorithm for the output parameter of fuzzy slide mode controller is given, simultaneously, above methods are respectively applied to the process control of unit in power plant. Finally, a fuzzy control strategy with variable universe for MIMO systems is designed by adding a flex gene to the learning algorithm. The convergence of the learning algorithm is proved through Lyapunov method, and it is applied to the coordinated control system for the boiler-turbine unit. A great of simulation results show the advantages of these presented control strategies in this paper.