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Model-based feedforward targeting of magnetic microparticles in fluids using dynamic optimization

Rikkert Van Durme (UGent) , Annelies Coene (UGent) , Tom Lefebvre (UGent) , Luc Dupré (UGent) and Guillaume Crevecoeur (UGent)
(2018)
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Abstract
External magnetic field gradients originating from electromagnets can generate forces on ferromagnetic microparticles to aid and enable precise local targeting of these particles. To steer these magnetic particles from their initial position to a desired target zone in a fluid, a control strategy on the proper activation of the electromagnets is required. We propose a model-based control strategy that performs dynamical optimization with respect to a given metric that results in an optimal particle trajectory. Here, minimum power consumption of the electromagnet is considered as metric. Furthermore, a dynamical model containing the magnetic fluidic forces acting on the particles is incorporated in the dynamic optimization. Results show the benefits of following the presented approach since it allows control of the electromagnets in open loop.
Keywords
magnetic particles, targeted drug delivery, optimal control

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Please use this url to cite or link to this publication:

Chicago
Van Durme, Rikkert, Annelies Coene, Tom Lefebvre, Luc Dupré, and Guillaume Crevecoeur. 2018. “Model-based Feedforward Targeting of Magnetic Microparticles in Fluids Using Dynamic Optimization.” In .
APA
Van Durme, R., Coene, A., Lefebvre, T., Dupré, L., & Crevecoeur, G. (2018). Model-based feedforward targeting of magnetic microparticles in fluids using dynamic optimization. Presented at the 15th International Workshop on Optimization and Inverse Problems in Electromagnetism.
Vancouver
1.
Van Durme R, Coene A, Lefebvre T, Dupré L, Crevecoeur G. Model-based feedforward targeting of magnetic microparticles in fluids using dynamic optimization. 2018.
MLA
Van Durme, Rikkert, Annelies Coene, Tom Lefebvre, et al. “Model-based Feedforward Targeting of Magnetic Microparticles in Fluids Using Dynamic Optimization.” 2018. Print.
@inproceedings{8586353,
  abstract     = {External magnetic field gradients originating from electromagnets can generate forces on ferromagnetic microparticles to aid and enable precise local targeting of these particles. To steer these magnetic particles from their initial position to a desired target zone in a fluid, a control strategy on the proper activation of the electromagnets is required. We propose a model-based control strategy that performs dynamical optimization with respect to a given metric that results in an optimal particle trajectory. Here, minimum power consumption of the electromagnet is considered as metric. Furthermore, a dynamical model containing the magnetic fluidic forces acting on the particles is incorporated in the dynamic optimization. Results show the benefits of following the presented approach since it allows control of the electromagnets in open loop.},
  author       = {Van Durme, Rikkert and Coene, Annelies and Lefebvre, Tom and Dupr{\'e}, Luc and Crevecoeur, Guillaume},
  language     = {eng},
  location     = {Hall in Tirol},
  title        = {Model-based feedforward targeting of magnetic microparticles in fluids using dynamic optimization},
  year         = {2018},
}