Towards intelligent PID control
Automatica (Journal of IFAC)
Tuning of PID controllers based on gain and phase margin specifications
Automatica (Journal of IFAC)
Soft computing approach for modeling power plant with a once-through boiler
Engineering Applications of Artificial Intelligence
Load forecasting using artificial intelligence techniques: a literature survey
International Journal of Computer Applications in Technology
Evolution of industrial automation
International Journal of Computer Applications in Technology
Research on energy consumption detection system based on OPC technology
International Journal of Computer Applications in Technology
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In this paper, a direct Nyquist array (DNA) method for the design of PID controllers for multivariable boiler-turbine units with specifications of gain and phase margins is proposed. The essential objective is to propose a method for the design and auto-tuning of both straightforward and robust PID controllers that can be more easily implemented for the boiler-turbine units in coal-fired power generation plants in the same framework. For this purpose, the model of the original multi-input multi-output (MIMO) system is first converted into a diagonal/diagonal dominance matrix after the system is appropriately compensated. Then, various PID controller design methods for single-input single-output (SISO) systems can be easily extended to decoupled or quasi-decoupled MIMO systems. In particular, the proposed method allows the user to specify the robustness and other key performances of the system through the gain and phase margins specifications. Illustrative example is given to show the design procedure and to compare our method with other existing tuning rules.