Nonlinear PID controller based on fuzzy immune method and its simulation in superheater steam temperature

The biological immune system has strong robustness and self-adaptability in circumstances full of disturbances and uncertainties, and the nonlinear PID has the advantages of simple algorithm, small overshoot, fast convergence. The fuzzy immune method and nonlinear PID are integrated together, and a novel nonlinear PID control strategy based on fuzzy immune algorithm is proposed. The strategy was simulated in the superheater steam temperature control system of power plants. And the immune genetic algorithm is used to tuning the control strategy's parameters. The simulation shows that the immune nonlinear PID has faster response speed, smaller overshoot, shorter adjustment time, that is, has better dynamic performance. The controlling performance is better than that of the traditional PID control strategy.