Input-output scaling factors tuning of type-2 fuzzy PID controller using multi-objective optimization technique

The PID controller is a popular controller that is widely used in various industrial applications. On the other hand, the control problems in microgrids (MGs) are so challenging, because of natural disturbances such as wind speed changes, load variation, and changes in other sources. This paper proposes an input-output scaling factor tuning of interval type-2 fuzzy (IT2F) PID controller using a multi-objective optimization technique. The suggested controller is applied to an MG frequency regulation problem. In the introduced controller the effect of variations of renewable energies (REs) scheme, some factors such as least overshoot, and minimum settling/rising time are considered. achieved, such that the frequency trajectory shows the desired overshoot, and settling/rising time.

Automated summary

This paper proposes a method for tuning the input-output scaling factor of an interval type-2 fuzzy PID controller using a multi-objective optimization technique. The suggested controller is applied to the frequency regulation problem in microgrids, considering the effect of variations in renewable energy schemes and minimizing overshoot and achieving the desired settling/rising time.