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Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
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Fractional-order PI plus D controller for second-order integrating plants: Stabilization and tuning method.

Vivek Pawan Shankaran1, Sheikh Izzal Azid1, Utkal Mehta1

  • 1School of Information Technology, Engineering, Mathematics and Physics, The University of the South Pacific, Suva, Fiji.

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|January 4, 2022
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Summary

This study introduces a fractional-order PI plus D controller for improved stability in second-order integrating systems. The new fractional-order PIλ-D approach enhances control performance and robustness, demonstrated in quadrotor altitude control.

Keywords:
Fractional PI-D tuningIntegrating plantsOptimizationStability region

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Area of Science:

  • Control Engineering
  • Systems Theory
  • Robotics

Background:

  • Second-order integrating plants present control challenges due to inherent instability.
  • Existing control strategies may offer limited stability regions and robustness.

Purpose of the Study:

  • To propose a novel fractional-order PI plus D (PIλ-D) controller structure.
  • To enhance the stability region and robustness of second-order integrating systems.
  • To develop a method for calculating optimal controller parameters.

Main Methods:

  • Design of a feedback controller to strategically place integrating poles.
  • Derivation of explicit formulae for the complex root boundary (CRB) with fractional integrators.
  • Application of a stabilizing approach to constrain optimal controller parameter calculation.
  • Validation through numerical simulations and hardware experiments on a quadrotor's altitude control system.

Main Results:

  • The proposed PIλ-D controller significantly improves the stability region of the control system.
  • Explicit formulae for CRB enable precise calculation of optimal controller parameters.
  • Numerical and experimental results demonstrate enhanced performance and robustness compared to existing methods.

Conclusions:

  • The fractional-order PIλ-D controller offers a superior approach for controlling second-order integrating plants.
  • The method provides a systematic way to achieve robust and stable control.
  • The quadrotor altitude control application validates the practical effectiveness of the proposed technique.