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- W1965156943 abstract "The main steam temperature control system is necessary to ensure high efficiency and high load-following capability in the operation of modern power plant, which has the characteristics of large inertia, long time-delay and time-varying, etc. Thus conventional PID control strategy cannot achieve good control performance. Prompted by the feedback regulation mechanism of biology immune response and neural network, a composite control strategy based on RBF tuning PID and fuzzy immune control is presented in this paper. It has stronger robustness and better self-adaptive ability, which can be adaptive to the change in the parameters of the controlled plant. A simulation study of the main steam temperature control system shows that this control strategy is effective, practicable and superior to conventional PID control." @default.
- W1965156943 created "2016-06-24" @default.
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- W1965156943 date "2010-08-01" @default.
- W1965156943 modified "2023-09-26" @default.
- W1965156943 title "Research on RBF tuning PID and fuzzy immune control system of superheat temperature" @default.
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- W1965156943 doi "https://doi.org/10.1109/icnc.2010.5584089" @default.
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