Sensitivity analysis on neural network algorithm for primary superheater spray modeling
Nonlinear, large inertia with long dead time is always associated with the main steam temperature parameter in coal fired power plant. Successful control of the main steam temperature within ±2°C of its setpoint is the ultimate target for coal-fired power plant operators. Two of the most common main...
Main Authors: | Mazalan, Nor Azizi, Abdul Malek, Azlan, Abdul Wahid, Mazlan, Mailah, Musa |
---|---|
Format: | Article |
Published: |
Taylor and Francis Inc.
2017
|
Subjects: |
Similar Items
-
Primary superheater spray control valve modeling based on Levenberg-Marquardt learning algorithm
by: Mazalan, Nor Azizi, et al.
Published: (2014) -
Neural network modeling for main steam temperature system
by: Mazalan, Nor A., et al.
Published: (2014) -
Review of control strategies employing neural network for main steam temperature control in thermal power plant
by: Abdul Wahid, Mazlan, et al.
Published: (2014) -
Active force control applied to spray boom structure
by: Tahmasebi, Mona, et al.
Published: (2012) -
Main steam temperature modeling based on levenberg-marquardt learning algorithm
by: Mazalan, N. A., et al.
Published: (2013)