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Research Papers

Robust Control Based on Generalized Predictive Control Applied to Switched Reluctance Motor Current Loop

[+] Author and Article Information
Bismark C. Torrico

Department of Electrical Engineering,
Federal University of Ceará,
Fortaleza, Ceará, Brazil
e-mail: bismarkg@dee.ufc.br

Rômulo N. de C. Almeida

Department of Electrical Engineering,
Federal University of Ceará,
Sobral, Ceará, Brazil
e-mail: rnunes@dee.ufc.br

Laurinda L. N. dos Reis

Mem. IEEE
Department of Electrical Engineering,
Federal University of Ceará,
Fortaleza, Ceará, Brazil
e-mail: laurinda@dee.ufc.br

Wellington A. Silva

Department of Electrical Engineering,
Federal University of Ceará,
Fortaleza, Ceará, Brazil
e-mail: wellington@dee.ufc.br

Ricardo S. T. Pontes

Department of Electrical Engineering,
Federal University of Ceará,
Fortaleza, Ceará, Brazil
e-mail: ricthe@dee.ufc.br

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received December 5, 2012; final manuscript received November 12, 2013; published online February 28, 2014. Assoc. Editor: YangQuan Chen.

J. Dyn. Sys., Meas., Control 136(3), 031021 (Feb 28, 2014) (7 pages) Paper No: DS-12-1408; doi: 10.1115/1.4026128 History: Received December 05, 2012; Revised November 12, 2013

This paper proposes a robust control based on generalized predictive control (GPC) applied to the current control loop for a switched reluctance motor (SRM) drive. The proposed controller has two degrees of freedom where the setpoint tracking is decoupled from the load disturbance rejection at the nominal case. In addition a filter design is proposed in order to achieve good relationship among robustness, load disturbance rejection, and noise attenuation. Simulation and real experimental results are shown to illustrate the controller performance.

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References

Figures

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Fig. 2

Relationship between quadratic error and variance for each studied filter

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Fig. 8

Experimental speed and current through SRM winding A using GPCBC controller, 400–1200 rpm

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Fig. 9

Experimental speed and current through SRM winding A using PI controller, 400–1200 rpm

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Fig. 10

Experimental currents through SRM windings and load using PI controller, at 350 rpm

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Fig. 11

Experimental currents through SRM windings and load using GPCBC controller, at 350 rpm

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Fig. 1

Classical RST structure

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Fig. 5

Experimental current and duty-cycle through SRM winding A using GPCBC controller

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Fig. 6

Experimental current and duty-cycle through SRM winding A using SGPC controller

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Fig. 7

Experimental current and duty-cycle through SRM winding A using PI controller with step load

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Fig. 4

The experimental setup of the SRM drive

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