The boiler drum water level not only has a profound effect on the steam generated quality and the stream-water separation speed, but also is an important parameter ensuring safety in production. In designing the PID controller, the selection of PID parameters has a direct impact on the control effect. Normally, the choice mainly based on experience with certain subjectivity. In this paper, genetic algorithms is applied to the PID controller design of steam boiler drum water level, reasonable objective function and weighted coefficients are designed according to the control requirements, and relatively optimal PID Parameters are obtained which not only meet the demanding control requirements but also optimize the dynamic performance and make the system have strong anti-interference ability. Finally, validity of the algorithms proposed is verified through computer simulation.
A new strategy involving the cancellation of system poles and controller zeros is proposed for the indirect adaptive pole-assignment controllers. The resulting controllers can be implemented without solving simultaneous equations. A new method of eliminating the offset due to reference input without an explicit integrator is also proposed. The new strategies can be applied to pole assignment controllers of both general-feedback structure and error-driven structure. The results obtained from the simulations and trials on a stirred tank process verify that the controllers work well.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.