Research on RBF tuning PID and fuzzy immune control system of superheat temperature

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.