Pneumatic control valves stiction is very common in process industry. A big fluctuation of process will be caused by stiction and productivity will also be lowered. Among lots of research results

the method of describing stiction of pneumatic control valves and detecting stiction developed by Kano is simple and effective. However

some defects in the Kano’s method are pointed out by the authors. The model structure of pneumatic control valve of Kano was improved to overcome the existing defects so that the input and output were consistent with the physical process. To deal with multiple parameters in the statistical detection method

guide rules were presented through the analysis of the factors that affected the detection results. Finally

the stiction phenomenon was compiled to a module by using the S-function technology in Matlab Simulink. Simulation was made under the Matlab Simulink framework and the statistical detection method under disturbance was discussed.