A Review of Interval Type-2 Fuzzy Control Technique and Applications for Rotary-Wing UAVs
Halit Ufacik, Ö. Fatih Keçecioğlu · Unmanned Systems · 2025
In parallel with the rapid increase in technological developments, the use of unmanned aerial vehicles (UAVs) has increased intensively in both military and civilian areas. UAVs have the capacity to perform different tasks under dangerous and difficult conditions for humans, in order to benefit human lives, by being controlled from an autonomous or remote ground station. Different missions and applications defined for them have revealed the classification of UAVs. In this paper, the UAV class, categorized as Rotary Wing, has been examined. UAVs may be exposed to internal and external disturbances while performing the task defined for them in line with the needs of people. As a result, many control methods have been applied to Rotary-Wing UAVs, depending on the control technologies developed in order not to affect the flight quality of the Rotary Wing UAV negatively. One of them is the Interval Type-2 Fuzzy Logic Controllers presented in this paper, known as the learning-based intelligent control method. First, for this study based on UAV control, different UAV classifications are presented. Later, the highly nonlinear dynamics of Rotary-wing UAVs, which are a part of this classification, and control techniques in operating conditions under internal and external disturbances are mentioned. Interval type-2 fuzzy logic set and systems are presented in detail. Finally, many different studies on interval type-2 fuzzy logic control techniques applied to rotary wing UAVs under the framework of learning-based intelligent control have been introduced.