Real-Time Updating of a Dynamic Fundamental Model for Froth Flotation Process

• Author / Creator

  Sekhavat, Masih

• Froth flotation is one of the most common methods in the mineral industry for selective extraction of a small fraction of desired mineral from a finely mixed ground ore.
  This work explores the development of a fundamental dynamic model for froth flotation with parameters of the model being estimated and updated online with applicable techniques such as extended Kalman filtering. In the first step, a fundamental dynamic model was proposed and then a series of flotation experiments in a JK Tech batch flotation cell were designed and performed by the Fractional Factorial Design method. In the second step, the developed model was reconciled with dynamic data from the batch flotation cell, and model parameters were estimated and updated on-line using extended Kalman filtering.
  Results show the applicability of the Kalman filter estimator for tracking changes in operational conditions and in parameter estimation when disturbances were applied to the system.

• Subjects / Keywords

  • Froth Flotation
  • Extended Kalman Filter
  • Dynamic Modelling

• Graduation date

  Spring 2014

• Type of Item

  Thesis

• Degree

  Master of Science

• DOI

  https://doi.org/10.7939/R3T43J89C

• License

  This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.