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Optimal Control of the DC Motors with Feedforward Compensation of the Load Torque

  • Conference paper
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3rd International Congress on Energy Efficiency and Energy Related Materials (ENEFM2015)

Part of the book series: Springer Proceedings in Energy ((SPE))

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Abstract

The goal of the electrical drives is to control the mechanical load in accordance with the process requirements. The mechanical load is characterized by load torque and moment of inertia. Considering that the moment of inertia is reduced to the rotor of the electrical machine, optimal control of the DC motor with feedforward load torque compensation is proposed in this paper. In order to find the feedback component of the electrical drive system (EDS), Algebraic Riccati Equation (ARE) is solved. By adding a load torque dependent component to the DC armature voltage control, the mechanical load action is compensated. The compensator will lead to an increased voltage control such that the influence of the load torque will be eliminated. The numerical results of the EDS are shown. The method can be applied to electrical vehicles in order to compensate in real time the large variations of the load torque.

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References

  1. Sheta, M.A., Agarwal, V., Nataraj, P.S.V.: A new energy optimal control scheme for a separately excited DC motor based incremental motion drive. Int. J. Autom. Comput. 6(3), 267 (2009)

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  2. Morzhov, A.V., Faldin, N.V.: Synthesis of time-optimal tracking DC electric drive with limitation on consumed power. J. Comput. Syst. Sci. Int. 50(2), 205–219 (2011)

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Acknowledgment

This work was supported by a grant of the Romanian National Authority for Scientific Research, CNDI—UEFISCDI, project number PN-II-PT-PCCA-2011-3.2-1680.

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Correspondence to Marian Gaiceanu .

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Gaiceanu, M. (2017). Optimal Control of the DC Motors with Feedforward Compensation of the Load Torque. In: Oral, A., Bahsi Oral, Z. (eds) 3rd International Congress on Energy Efficiency and Energy Related Materials (ENEFM2015). Springer Proceedings in Energy. Springer, Cham. https://doi.org/10.1007/978-3-319-45677-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-45677-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45676-8

  • Online ISBN: 978-3-319-45677-5

  • eBook Packages: EnergyEnergy (R0)

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