A redundant flight recovery system implementation during an octocopter failure

Magsino, Elmer R.; Obias, Karl Cedric U.; Samarista, John Paul N.; Say, Marc Francis Q.; Tan, John Amos

doi:10.1109/tencon.2016.7848336

Cited by 7 publications

(5 citation statements)

References 6 publications

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“…If small households have such energy monitoring systems, these consumption data can be used for electrical load forecasting [17]. Finally, PID [18] and fuzzy logic controllers [19] for complex and nonlinear systems such as unmanned aerial vehicles and connected vehicles can be incorporated to achieve system performance and target operating specifications.…”

Section: Discussionmentioning

confidence: 99%

Energy Monitoring System Incorporating Energy Profiling and Predictive Household Movement for Energy Anomaly Detection

Magsino¹

2019

IJETER

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In most buildings and large households, an energy management system is needed to timely monitor and adaptively make decisions regarding the utility of the electrical equipment/appliances in order to minimize energy cost and provide convenience and comfort to the occupants. However, for small households, i.e., with four to five family members, energy monitoring systems are more appropriate since the number of appliances and households are restricted. Also, the household movements are limited, therefore, can be profiled and predicted. In this work, a home energy monitoring system, EnMonSys, with predictive household movement for small and compact houses is designed and implemented to detect common energy anomaly such as the opening/leaving a refrigerator's door open. This study has found out through experiments that factors such as changes in household member and/or season greatly affect the energy consumption, instead of the equipment/appliance control. Currently, EnMonSys has correctly detected 81% of energy anomaly and is believed to increase as the household profile (movement and appliance usage) is adjusted accordingly

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Section: Discussionmentioning

confidence: 99%

Energy Monitoring System Incorporating Energy Profiling and Predictive Household Movement for Energy Anomaly Detection

Magsino¹

2019

IJETER

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“…The obvious advantage of the pentacopter is a large angle between the front beams, which eliminates the problem of parts of the multicopter structure falling into the frame on one shoulder. The V8 octocopter performs controlled flight when four motors on two adjacent arms fail [ 32 ]. Due to this, the safety and stability of the flight is better than those of hexa-, quad-, and tricopters.…”

Section: Types Of Unmanned Aerial Vehiclesmentioning

confidence: 99%

A Review on the State of the Art in Copter Drones and Flight Control Systems

Peksa,

Mamchur

2024

Sensors

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This paper presents an overview on the state of the art in copter drones and their components. It starts by providing an introduction to unmanned aerial vehicles in general, describing their main types, and then shifts its focus mostly to multirotor drones as the most attractive for individual and research use. This paper analyzes various multirotor drone types, their construction, typical areas of implementation, and technology used underneath their construction. Finally, it looks at current challenges and future directions in drone system development, emerging technologies, and future research topics in the area. This paper concludes by highlighting some key challenges that need to be addressed before widespread adoption of drone technologies in everyday life can occur. By summarizing an up-to-date survey on the state of the art in copter drone technology, this paper will provide valuable insights into where this field is heading in terms of progress and innovation.

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“…The next step is to compute the objective function J in (10). The process will be stopped if the improvement of J c is less than a certain threshold or until a certain number of iterations, otherwise c j , μ ij , and J c will need to be iteratively calculated in line with ( 10)- (12).…”

Section: B C-means Clusteringmentioning

confidence: 99%

“…Thus, people may look at a different type of configurations (e.g., hexacopter and octocopter) since the systems can fly higher, faster, and safer due to redundant motor configurations. Depending on the position and the overall payload, an octocopter may be able to have 2 or 3 faulty motors while still being able to safely reconfigure the control system without crashing the aircraft [10]. However, considering the fact that the lifetime of the battery just scales with the number and the size of the rotors, it is desirable to employ a system that can provide a delicate balance between performance and power consumption.…”

Section: Introductionmentioning

confidence: 99%

A self-learning TS-fuzzy system based on the C-means clustering technique for controlling the altitude of a hexacopter unmanned aerial vehicle

Santoso

Garratt

Anavatti

2017

2017 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)

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In this research, we develop a self-learning fuzzy logic autopilot for high-performance trajectory tracking of a hexacopter unmanned aerial vehicle. We employ non-linear mathematical models of the system, derived from first principles, to gain more accurate understanding of its dynamic behaviours. Accordingly, we design the TS-fuzzy autopilot of a hexacopter for its altitude loop by means of the c-means fuzzy clustering technique to control the height of the drone. This research serves as our preliminary study to investigate the feasibility of our fuzzy control system before we can implement it into practice. We perform a systematic comparative study to highlight the effectiveness of our control algorithm. We demonstrate the performance and robustness of the proposed control system in terms of its tracking error with respect to the performance of the conventional PID controller.

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A redundant flight recovery system implementation during an octocopter failure

Cited by 7 publications

References 6 publications

Energy Monitoring System Incorporating Energy Profiling and Predictive Household Movement for Energy Anomaly Detection

Energy Monitoring System Incorporating Energy Profiling and Predictive Household Movement for Energy Anomaly Detection

A Review on the State of the Art in Copter Drones and Flight Control Systems

A self-learning TS-fuzzy system based on the C-means clustering technique for controlling the altitude of a hexacopter unmanned aerial vehicle

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