Research results on Interval type-2 (IT2) fuzzy control have started to emerge in the literature over the past twenty years. They have received attention because of their potential to handle uncertainties better than type-1 (T1) fuzzy controllers. This paper proposes a new algorithm for auto-tuning PID controllers whose gains are calculated through a self-tuning of the phase and gain margins for the closed-loop system using both type-1 (PID-F-FG) and Interval type-2 Fuzzy Logic (PID-FT2I-FG). The Fuzzy PID and Interval
type-2 fuzzy PID controller structures are built by using two-dimensional input space, Interval type-2 input fuzzy sets, T1 output fuzzy singletons, product t-norm, sum t-conorm, Karnik–Mendel center-of-set type reducer, and centroid defuzzifier. Simulations using a nonlinear conical tank are presented with the objective of verifying the effectiveness of the proposed control method. The results show that the presented strategy improves the controller performance for the conical tank.