“A Multivariable Control in Aluminum Reduction Cells”

Authors: Erik Gran,
Affiliation: Institute for Energy Technology (IFE)
Reference: 1980, Vol 1, No 4, pp. 247-258.

Keywords: Aluminium reduction cells, multivariable control, nonlinear model, stochastic estimation algorithms

Abstract: The paper presents a multivariable control system for an aluminium reduction cell. The system is based on a dynamic model for the energy and mass balance. This model gives an optimal stationary state (or behavior) of the cell and is the basis of a reduced model which is used in calculation of the feedback control.

PDF PDF (3038 Kb)        DOI: 10.4173/mic.1980.4.4

DOI forward links to this article:
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References:
[1] EK, A., FLADMARK, G.E. (1973). Simulation of Thermal Electric and Chemical Behaviour of an Aluminium Cell on a Digital Computer, TMS-AIME-meeting, Chicago, USA.
[2] EK, A., GRAN, E. (1974). Multec Version 1, 0, A program for Multi-variable Estimation and Control of Dynamic Systems. Users Manual. Kjeller Report, KR-151, Norway.
[3] MARTIN, R.D. (1972). Robust Estimation of Signal Amplitude, IEEE Trans. Information Theory, 18, No. 5, Sept., pp. 596-606 doi:10.1109/TIT.1972.1054890
[4] RASMUSSEN, L. (1970). Solution of Systems of Nonlinear Equations, WA Work Report, PM-155.
[5] SAKSVIKRØNNING, T., GRAN, E., VEE, K. (1976). Estimation of States in Aluminium Reduction Cells Applying Extended Kalman Filtering Algorithm Together with a nonlinear Model and Discrete Measurements, TMS-AIME-meeting, Las Vegas, USA.


BibTeX:
@article{MIC-1980-4-4,
  title={{A Multivariable Control in Aluminum Reduction Cells}},
  author={Gran, Erik},
  journal={Modeling, Identification and Control},
  volume={1},
  number={4},
  pages={247--258},
  year={1980},
  doi={10.4173/mic.1980.4.4},
  publisher={Norwegian Society of Automatic Control}
};