Abstract
In recent years, the development of new clean energy without dependence on fossil fuel has become urgent. This article proposes a learning control system for power generation using a low-temperature gap which has been designed to maintain the speed of a steam turbine in a real environment. This system includes nonlinearity and the characteristics of changing parameters with age and deterioration, as in the real environment. The evaporator, condenser, and turbine systems have been modeled, and a PID control with the ability to learn, based on a BackPropagation neural network, has been designed.
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References
Jitsuhara S, Nakamura M, Ikegami Y, et al (1994) Controller design for vapor temperatures of OTEC plant based on reduced order model. Soc Instrum Control Eng 30(9):1060–1068
Hashizume T, Kawai S, Machiyama T (1981) Experimental studies on the dynamic characteristics of evaporator in the L.B.M. turbine system. Jpn Soc Mech Eng C 47(421):1161–1168
Owens WL (1982) OTEC plant response and control analysis. ASME J Solar Energy Eng 104:208–215
Fujinaka T, Omatu S (2006) Self-tuning of PID parameters with neural networks. Special Issue. Parameter tuning in PID control. Syst Control Inf 50(12):453–458
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This work was presented in part at the 15th International Symposium on Artificial Life and Robotics, Oita, Japan, February 4–6, 2010
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Shikasho, S., Han, KY., Shin, JS. et al. A learning control of unused energy power generation. Artif Life Robotics 15, 450–454 (2010). https://doi.org/10.1007/s10015-010-0842-3
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DOI: https://doi.org/10.1007/s10015-010-0842-3