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.
In modeling engineering and software application, to reduce the difficulties in the course of automation control faced by Sino-Italian bachelor student majored in automation, a module and multi-language based virtual experiment design method is proposed. Virtual experiment architecture in automation control theory is presented. Five classes of experiments included in virtual experiment architecture are introduced. These experiments are appropriate especially for the Sino-Italian cooperation project in exchange bachelor education. These experiments take the popular simulation software MATLAB in the international control area as the virtual experiment platform, enable the students to master the system modeling and time domain analysis with MATLAB. To validate the method proposed in this paper, the unit impulse response experiment and stability analysis experiment are designed and further conducted by bachelor students in automation experiment room.
To solve the existing technical problems in quality management, distributed control, maintenance and monitoring management faced by traditional diesel generator set(GenSet), this paper summarizes the development status of traditional diesel generator set technology, and analyzes the business requirements of end users for distributed cloud control. Through the integration of traditional diesel generator cloud technology with internet of things technologies(IOT), a new design scheme of cloud GenSet controller is proposed based IoT technology, which simplifies the logic hierarchy of diesel generator cloud control. Then this paper puts forward the key network hardware design, and applies the new cloud GenSet controller to the enterprise new GenSet system, which verifies the feasibility and stability of the new design.
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.