@inproceedings{a2a5ba7fa99941129aca3063febdc31b,
title = "A neuro PID control of power generation using low temperature gap",
abstract = "Recently, renewable energy is increasingly attractive in solving global problem such as the environmental pollution and energy shortage. Among varieties of renewable energy resource, power generation using low temperature gap has received much attention of researchers. However, this system is difficult to control because each of the components of this system, such as heat exchanger, working fluid and turbine, has a dynamic characteristic or nonlinear factor. In order to overcome this problem, PID controller based on neural network for power generation using low temperature gap is designed to keep the stable speed of the steam turbine in real environment.",
keywords = "Evaporator, Neural network, PID control, Power generation, Turbine",
author = "Han, {Kun Young} and Park, {Hee Jae} and Lee, {Hee Hyol}",
year = "2011",
month = dec,
day = "1",
language = "English",
isbn = "9784990288051",
series = "Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11",
pages = "495--498",
booktitle = "Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11",
note = "16th International Symposium on Artificial Life and Robotics, AROB '11 ; Conference date: 27-01-2011 Through 29-01-2011",
}
