Aiming at solving the problem of large difficulty in fuzzy controller design and promotion

a method of designing fuzzy controller using particle swarm optimization(PSO) algorithm is proposed. By understanding the fuzzy reasoning process of a two-dimensional fuzzy controller as a binary function

the controller design problem is transformed into a function surface optimization problem

which avoids the complicated process of designing membership functions and fuzzy rules. By using the meshing method

the dimensionality of the optimization object is reduced to a two-dimensional matrix

and then the PSO algorithm is used to find the most suitable function surface for the controlled object

thereby completing the design of the fuzzy controller. By taking the selective catalytic reduction(SCR) flue gas denitrification system of thermal power unit as the experimental object

this method is applied to design a fuzzy PID controller

and the effectiveness of this design method is verified through comparison with the conventional PID control.