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Model Predictive Torque Control of a Switched Reluctance Motor

Author(s):

H. Peyrl, G. Papafotiou, M. Morari
Conference/Journal:

IEEE International Conference on Industrial Technology, Gippsland, Australia
Abstract:

The strongly nonlinear magnetic characteristic of switched reluctance motors (SRMs) makes their torque control a challenging task. In contrast to standard current based control schemes, we use model predictive control (MPC) and directly manipulate the switches of the dc-link power converter. At each sampling time a constrained finite-time optimal control problem based on a discrete-time nonlinear prediction model is solved yielding a receding horizon control strategy. The control objective is torque regulation while winding currents and converter switching frequency are minimized. Simulations demonstrate that a good closed-loop performance is achieved already for short prediction horizons indicating the high potential of MPC in the control of SRMs.

Year:

2009
Type of Publication:

(01)Article
Supervisor:



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% Autogenerated BibTeX entry
@InProceedings { PeyPap:2009:IFA_3130,
    author={H. Peyrl and G. Papafotiou and M. Morari},
    title={{Model Predictive Torque Control of a Switched Reluctance
	  Motor}},
    booktitle={IEEE International Conference on Industrial Technology},
    pages={},
    year={2009},
    address={Gippsland, Australia},
    month=feb,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=3130}
}
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