| dc.description.abstract | Boiler is the main component in generating steam in thermal power generation units and its
control is very important in many applications. In present situation conventional PID control
is being used for this purpose. These conventional controllers in power plants are not very
stable when there are fluctuations and, in particular, there is an emergency occurring.
Continuous processes in power plant and power station are complex systems characterized by
nonlinearity, uncertainty and load disturbances. The conventional controllers do not work
accurately in a system having nonlinearity in it. So, an intelligent control using fuzzy logic is
developed to meet the nonlinearity of the system for accurate control of the boiler steam
temperature and water level. The Control system of the industry boiler water level is
designed. The control algorithm used normalized PID control algorithm based traditional
PID. A normalized parameter setting method is introduced for adjustment of PID parameters.
The boiler water level control system is designed based on the Kingview software
development platform. The main controller is realized with PLC. The configuration software
is used to configure hardware and network. The experimental results prove that the
combination of the PLC control system and Kingview configuration software is valuable for
design, testing and application. | en_US |
