A study of super-heater steam temperature fuzzy controller based on feedforward signal of radiative energy

For implementation of significant time delay, large inertia and multivariable effected superheater steam temperature control with great efficiency in power plant; a feedforward strategy based on radiative energy signal was presented, which combined with fuzzy control and fuzzy inference. The significant improvement was due to detecting the disturbance at an earlier point of time and, accordingly, an earlier control action. And also, because of adjustable weighted factor, the fuzzy controller can regulate control law dynamically to improve the self-adaptation. The simulation tests show that temperature overshoot resulted from combustion disturbance and load change is halved by introduced the feedforward.