2012
DOI: 10.1155/2012/989051
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Fuzzy Logic Unmanned Air Vehicle Motion Planning

Abstract: There are a variety of scenarios in which the mission objectives rely on an unmanned aerial vehicle (UAV) being capable of maneuvering in an environment containing obstacles in which there is little prior knowledge of the surroundings. With an appropriate dynamic motion planning algorithm, UAVs would be able to maneuver in any unknown environment towards a target in real time. This paper presents a methodology for two-dimensional motion planning of a UAV using fuzzy logic. The fuzzy inference system takes info… Show more

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Cited by 31 publications
(16 citation statements)
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“…When carrying out the implementation of the proposed fuzzy controller at an early stage, the major disadvantage of an intelligent control for motion planning has been found to concur with the investigation of Sabo et al [18] that the UAV's tendency to get caught in local minima. In fuzzy control, it is similar to suffering from left-right confusion, especially at very huge or symmetrical, curved-in obstacles.…”
Section: Limitationssupporting
confidence: 73%
“…When carrying out the implementation of the proposed fuzzy controller at an early stage, the major disadvantage of an intelligent control for motion planning has been found to concur with the investigation of Sabo et al [18] that the UAV's tendency to get caught in local minima. In fuzzy control, it is similar to suffering from left-right confusion, especially at very huge or symmetrical, curved-in obstacles.…”
Section: Limitationssupporting
confidence: 73%
“…The control system will adjust pitch, speed, and angle to reach In our method, UAV's altitude will either increase to fly over a semi-obstacle, or it will be kept constant to fly around full-obstacles 1 . In our simulations the UAV always moves forward.…”
Section: Description Of the Methodsmentioning
confidence: 99%
“…Some of the approaches based on fuzzy logic employ fuzzy controllers [15], [1] for path planning. Other fuzzy logic-based methods are capable of doing not only path planning but completely controlling UAV's movement in 3D spaces [2].…”
Section: Previous Related Workmentioning
confidence: 99%
“…In 1973 he published a paper on the analysis of complex systems and decision processes, and then in 1979 he reported (1981 paper) on possibility theory and soft data analysis [25].Within a fuzzy logic based controller, inputs are converted into outputs in three important steps: fuzzification, decision making logic, and defuzzification. The methodology for two dimensional motion planning of a UAV using fuzzy logic is presented in [26].In this paper, the fuzzy inference system takes information in real time about the target location and obstacles within the sensing range of the sensors. The outputs consist of changes in heading angle and speed.…”
Section: Fuzzy Logicmentioning
confidence: 99%