SUMMARY
In this study, we developed a magnetic levitation system using a Hall element displacement sensor with neural network for science and technology education. The sensor configured with three Hall elements was devised in order to measure displacement from an electromagnet to a levitated object with a permanent magnet. Use of the Hall element displacement sensor achieves a lower cost magnetic levitation system. Furthermore, three‐layered feedforward neural network was utilized in order to improve the precision of the Hall element displacement sensor. Finally, operation verification of the developed magnetic levitation system was conducted by designing state feedback regulator with observer.
In this study, we developed a magnetic levitation system using a Hall element displacement sensor with neural network for science and technology education. The sensor configured with three Hall elements was devised in order to measure displacement from an electromagnet to a levitated object with a permanent magnet. Use of the Hall element displacement sensor achieves a lower cost magnetic levitation system. Furthermore, three-layered feedforward neural network was utilized in order to improve the precision of the Hall element displacement sensor. Finally, operation verification of the developed magnetic levitation system was conducted by designing state feedback regulator with observer. C⃝ 2017 Wiley Periodicals, Inc. Electr Eng Jpn, 200(2): 51-60, 2017; Published online in Wiley Online Library (wileyonlinelibrary.com).
The aim of this research is to evaluate the behavior of small scaled wind turbine system against strong wind input using electromagnetic stall control system. In general, the wind turbine system is generating energy from the revolution of blades. The revolution of blade is varying through the environmental wind that is swept to blade. Therefore, if there is strong wind then the revolution of blade is increased and consequently more energy will be generated. Essentially the wind turbine systems are located in the gale area in order to generate energy efficiently. However, there is a boundary of revolution of blade, especially in small-scaled turbine due to small inertia momentum. If the angular velocity exceeds the boundary of revolution then wind turbine system may breakdown. Thus in this paper, in order to avoid the malfunction of small-scaled wind turbine system, electromagnetic stall control (ESC) is suggested. ESC can control the angular velocity without having any connection with shaft. Thus, we would control angular velocity much efficiently than the conventional stall control method such as friction stall control. For stability determination and performance evaluation phase plane method is applied in order for certain determination of stability. As a consequence, we could verify the reliability of ESC system by phase plane method.
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