Abstract
Power generation using a low temperature gap converts heat energy into electricity by using the temperature difference. In this article, a simulation model for power generation using a low temperature gap, which uses a circulation cycle with ammonia as the working fluid, is constructed as a linear multiple input/multiple output (MIMO) model which has 2 inputs and 2 outputs based on the step response method. A PID controller using a back propagation neural network is designed so that the difference in pressure between the turbine inlet and outlet is kept at 0.3 Mpa.
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References
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This work was presented in part at the 16th International Symposium on Artificial Life and Robotics, Oita, Japan, January 27–29, 2011
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Han, KY., Lee, HH. Neuro PID control of power generation using a low temperature gap. Artif Life Robotics 16, 178–184 (2011). https://doi.org/10.1007/s10015-011-0913-0
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DOI: https://doi.org/10.1007/s10015-011-0913-0