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Robust Parameter Control With Feedback Control

Summary: [This abstract is based on the authors' abstract.]Robust parameter design and on-line control are two commonly used methods for mitigating the effect of noise on process output, and often the optimal control law depends on the parameter design solution or vice versa. This indicates the need for a method that combines the two approaches. The proposed parameter design methodology is developed in the presence of feedback control for processes of long duration. Systems using a pure-grain dynamic model are studied, and the best proportional-integral and minimum mean squared error control strategies are developed using robust parameter design. A case study in a urea plant and a simulated example illustrate the method.

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  • Topics: Statistical Process Control (SPC), Engineering
  • Keywords: Case study,Feedback control,Mean square errors (MSE),Noise,Parameter design,Process control,Quality engineering,Robust design
  • Author: Dasgupta, Tirthankar; Wu, C.F. Jeff
  • Journal: Technometrics