| 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 King view 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 King view
configuration software is valuable for design, testing and application. | en_US |
