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- W2375133495 abstract "An intelligent PID controller was proposed for a CaC2 furnace system with three-phase current coupled. Using genetic algorithm with real number coding, a group of optimal parameters of this intelligent PID controller were obtained, which are used as the original values for the real-time tuning of PID parameters. Based on the principle of integral detached, a fuzzy decoupled inference was designed for the PID parameters real-time tuning to ensure that the system response has optimal dynamic and steady-state performances. The results of computer simulation show that the intelligent PID controller has the advantages of batter dynamic, static, and robust performance over the conventional PID controllers in a CaC2 furnace control system." @default.
- W2375133495 created "2016-06-24" @default.
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- W2375133495 date "2007-01-01" @default.
- W2375133495 modified "2023-09-23" @default.
- W2375133495 title "Application of Intelligent PID Controller in CaC_2 Furnace Electrode Adjustment System" @default.
- W2375133495 hasPublicationYear "2007" @default.
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