Indirect Measurement of the Temperature via Kalman Filter

نویسندگان

  • L. F. Mouzinho
  • J. V. FonsecaNeto
  • R.C.S. Freire
چکیده

The development of an indirect measurement model for electro thermal furnace and its implementation in a reconfigurable architecture are the main issues of this article. The proposed measurement system is based on the system model, the principle of conservation of energy and the laws of thermodynamics are applied to build a model of the thermal system where the Kalman theory is applied for filtering and prediction of the temperatures inside of a resistive furnace. Three setup are established to evaluate the performance of the indirect measurement system: off-line implementation of the algorithm on a test platform, the indirect measurement system is connected on the furnace hardware for standalone and real time operations. The measurement algorithm can be seen as a good alternative for temperature indirect measurement systems, due to its effectiveness and simplicity during the performance evaluations.

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تاریخ انتشار 2006