A Review on the Role of Fuzzy Logic in Simulation, Planning and Control of Drones

Abstract

In this paper, we offer an overview of the published works dealing with fuzzy logic applied in drones, considering both theoretical works and applications in diverse areas, such as simulation, planning, and control of drones. The analysis was done considering all types of available publications, such as journal papers, chapters, and conference papers. The data were obtained by searching the Scopus database from Elsevier, which contains most of the world’s indexed publications across all areas of knowledge. Based on the obtained data, some conclusions were elaborated about the advances of fuzzy logic and its applications in drones, as well as interesting future trends for this area were delineated. In particular, as fuzzy logic has been evolving from type-1 to type-2 and more recently to type-3, the role of fuzzy systems in the area of drones is following the same evolution. We have to say this evolution has already happened in the area of controlling autonomous mobile robots, and we expect that this will also happen in the area of drones, as the navigation problem is similar to some extent. A limitation of the study is that we are only considering the evolution of fuzzy logic types, rather than other alternatives, such as intuitionistic or hesitant fuzzy theories, which could become more useful in the near future. Also, we are not studying hybrid approaches with fuzzy, like neuro-fuzzy or evolving fuzzy systems, which can be an interesting subject from the point of view of making a fuzzy system to become dynamic or adaptive.

Keywords

Fuzzy logic / Type-3 fuzzy logic / Drones / Control

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