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Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
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Classical controller design techniques for fractional order case.

Celaleddin Yeroglu1, Nusret Tan

  • 1Computer Engineering Department, Inonu University, Malatya, 44280, Turkey. cyeroglu@inonu.edu.tr

ISA Transactions
|April 19, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces new robust controller design methods for fractional-order systems. These techniques ensure robust performance for interval plants, enhancing control system stability and reliability.

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Area of Science:

  • Control Systems Engineering
  • Applied Mathematics

Background:

  • Fractional-order systems present unique challenges in classical controller design.
  • Robust performance is crucial for control systems operating with uncertain parameters.

Purpose of the Study:

  • To propose novel robust controller design methods for fractional-order interval transfer functions (FOITFs).
  • To ensure robust performance specifications are met for fractional-order interval plants.
  • To develop a classical PID controller design technique using fractional-order reference models.

Main Methods:

  • Utilizing classical design methods with Bode envelopes of FOITFs for lag, lag-lead, and PI controllers.
  • Employing an optimization technique based on a fractional-order reference model for PID controller design.
  • Applying the least squares optimization method to obtain PID controller parameters.

Main Results:

  • Successfully designed robust lag, lag-lead, and PI controllers for FOITFs.
  • Demonstrated that the proposed controllers meet robust performance specifications for fractional-order interval plants.
  • Obtained multiple stable PID controller parameter sets for the same plant using the optimization method.

Conclusions:

  • The proposed classical controller design techniques are effective for fractional-order interval systems.
  • The methods ensure robust performance and stability in the presence of plant uncertainty.
  • The optimization approach provides a viable way to design stable PID controllers for fractional-order plants.