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Title
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A fuzzy-based approach to protect the steering mechanism of high-power antennas in Tokamak
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Type
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JournalPaper
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Keywords
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Mechanical actuator; Real-time protection; Fuzzy logic modelling; ANFIS’ High-power antenna; Tokamak
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Abstract
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When a mechanical actuator is located in an antagonistic environment where there is no possibility to place sensors to measure its position, there is the necessity of employment of a model-predictive protection system to stop the actuator to avoid danger in case of the malfunctioning actuator controller. In fact, due to the complexity of the actuator dynamics and its workspace map, it is not possible to use limiting proximity estimators or some controller output thresholds. This paper has aimed to design and implement a reliable protection strategy that monitors the movements of the actuator in real-time to protect the actuator from touching the workspace border especially when the actuator moves at its highest speed. The idea of the fuzzy-based scheme is to convert the workspace boundary map into safety contours using image processing and develop a model of the actuator with emergency braking using the Sugeno-type fuzzy inference system and Mamdani fuzzy system. The workspace information and dynamic model of the actuator and brake have been incorporated into the fuzzy model which is then being optimized using Adaptive Neuro-Fuzzy Inference System (ANFIS) to increase the accuracy. The fuzzy protection system raises the problem of the conventional model predictive-based protection system and its demand for high computational power and insufficient refresh rate. The proposed method can be applied to a variety of applications but the chosen one is for the protection of steering microwave antennas placed inside a nuclear fusion reactor for comparison of performance.
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Researchers
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Mehdi Davoudi (First Researcher), Mohsen Davoudi (Second Researcher)
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