Design and Robust Performance Evaluation of a Fractional Order PID Controller Applied to a DC Motor

J. Viola; L. Angel; J.M. Sebastian

doi:10.1109/JAS.2017.7510535

Volume 4 Issue 2

Apr. 2017

IEEE/CAA Journal of Automatica Sinica

JCR Impact Factor: 15.3, Top 1 (SCI Q1)

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2017 > 4(2): 304-314

J. Viola, L. Angel and J.M. Sebastian, "Design and Robust Performance Evaluation of a Fractional Order PID Controller Applied to a DC Motor," IEEE/CAA J. Autom. Sinica, vol. 4, no. 2, pp. 304-314, Apr. 2017. doi: 10.1109/JAS.2017.7510535

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J. Viola, L. Angel and J.M. Sebastian, "Design and Robust Performance Evaluation of a Fractional Order PID Controller Applied to a DC Motor," IEEE/CAA J. Autom. Sinica, vol. 4, no. 2, pp. 304-314, Apr. 2017. doi: 10.1109/JAS.2017.7510535

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Design and Robust Performance Evaluation of a Fractional Order PID Controller Applied to a DC Motor

doi: 10.1109/JAS.2017.7510535

J. Viola^{1
,
,},
L. Angel^1
,,
J.M. Sebastian^2
,

1.
Universidad Pontificia Bolivariana, Bucaramanga 681004, Colombia
2.
Universidad Politecnica de Madrid, Centre for Automation and Robotics (CAR) UPM-CSIC, Madrid 28006, Spain

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Abstract

Abstract

This paper proposes a methodology for the quantitative robustness evaluation of PID controllers employed in a DC motor. The robustness analysis is performed employing a 2³ factorial experimental design for a fractional order proportional integral and derivative controller (FOPID), integer order proportional integral and derivative controller (IOPID) and the Skogestad internal model control controller (SIMC). The factors assumed in experiment are the presence of random noise, external disturbances in the system input and variable load. As output variables, the experimental design employs the system step response and the controller action. Practical implementation of FOPID and IOPID controllers uses the MATLAB stateflow toolbox and a NI data acquisition system. Results of the robustness analysis show that the FOPID controller has a better performance and robust stability against the experiment factors.
- Factorial experimental design,
- fractional-order PID controller,
- robustness analysis,
- SIMC PID controller

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References(32)

References

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Design and Robust Performance Evaluation of a Fractional Order PID Controller Applied to a DC Motor

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