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Research Papers

Adaptive Feedforward Control Applied in Switched Reluctance Machines Drive Speed Control in Fault Situations

[+] Author and Article Information
Wellington A. Silva

Department of Electrical Engineering,
Federal University of Ceará,
Fortaleza 60455-760, Ceará, Brazil
e-mail: wellington@dee.ufc.br

Bismark C. Torrico

Department of Electrical Engineering,
Federal University of Ceará,
Fortaleza 60455-760, Ceará, Brazil
e-mail: bismark@dee.ufc.br

Wilkley B. Correia

Department of Electrical Engineering,
Federal University of Ceará,
Fortaleza 60455-760, Ceará, Brazil
e-mail: wilkley@dee.ufc.br

Laurinda L. N. dos Reis

Department of Electrical Engineering,
Federal University of Ceará,
Fortaleza 60455-760, Ceará, Brazil
e-mail: laurinda@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 November 4, 2016; final manuscript received August 18, 2017; published online December 19, 2017. Assoc. Editor: Sergey Nersesov.

J. Dyn. Sys., Meas., Control 140(5), 051002 (Dec 19, 2017) (10 pages) Paper No: DS-16-1535; doi: 10.1115/1.4037836 History: Received November 04, 2016; Revised August 18, 2017

Many industrial and laboratory applications which make use of electric machines require noninterruption operation, even in the presence of faults, such as power generation and electric vehicles. Under fault scenarios, the performance of the system is expected to degrade and control techniques may be helpful to overcome this issue. Within this context, phase faults are obviously undesired, as may lead the machine to stop operating. Switched reluctance machines (SRM), due to its inherit characteristics, are naturally tolerant to phase faults, despite the loss of performance. Most of the techniques used to improve the performance of SRMs in fault situations are related to the switching feed converter. Regarding this issue, instead of presenting an alternative converter topology, this work alternatively proposes a control approach which significantly reduces the phase faults effects on the speed of the motor. Furthermore, the high-frequency noise is attenuated when compared to the classical proportional–integral (PI) controller, commonly applied to control such sort of motors. The proposed SRM-adaptive feedforward control (AFC) controller is able to recover the speed of operation faster than a classical approach, when a feedforward action is not taken into account.

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Figures

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Fig. 1

SRM drive system: (a) 6/4 SRM and (b) asymmetric bridge converter

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Fig. 2

SRM control system block diagram in RST structure

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Fig. 3

Relationship between speed and phase current, one fault: (a) speed during a phase fault, (b) speed before and after one phase fault, and (c) increase in the reference current × speed for one-phase fault

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Fig. 4

Relationship between speed and phase current, two faults: (a) speed during two-phase faults, (b) speed before and after two-phase faults, and (c) increase in the reference current × speed for two-phase faults

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Fig. 5

Frequency response for the transfer function between the control signal and the measurement noise

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Fig. 6

Robustness index for different poles position

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Fig. 7

Block diagram of the SRM with phase fault included as output disturbance

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Fig. 8

Block diagram of the proposed adaptive feedforward control (AFC) for SRM

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Fig. 10

Simulation results for different set points, two faults

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Fig. 9

Simulation results for different set points, one fault

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Fig. 11

Speed response when using IΔ1 for a generic fault

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Fig. 12

Speed response when using IΔ2 for a generic fault

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Fig. 13

Experimental setup, driver, and digital signal processor (DSP)

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Fig. 14

Experimental setup, SRM, and direct current (DC) motor

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Fig. 15

Comparison among PI for some pole positioning with the GPCBC used

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Fig. 16

The robustness index of the designed PI compared with the proposed controller

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Fig. 17

Comparison between SRM-AFC and PI for different speed references with constant torque, one-fault case

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Fig. 18

Comparison between SRM-AFC and PI for different speed references with constant torque, two-faults case

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Fig. 19

SRM-AFC and PI response for different load torques, one-fault case

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Fig. 20

SRM-AFC and PI response for different load torques, two-faults case

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