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An adaptive I-PD controller based on frequency domain system identification

Hashimoto1, Ishida

  • 1Department of Electronics and Communication, Meiji University, Kawasaki, Japan.

ISA Transactions
|May 29, 2000
PubMed
Summary
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This study introduces an auto-tuning method for I-PD controllers in systems with significant time delays, like pneumatic cylinders. The approach effectively reduces time delay effects using a modified Smith predictor and frequency response estimation.

Area of Science:

  • Control Systems Engineering
  • Automation and Robotics
  • Signal Processing

Background:

  • Systems with long time delays, such as pneumatic cylinders, present significant challenges for traditional control strategies.
  • Accurate controller tuning is crucial for achieving desired performance in industrial automation.
  • Existing methods often struggle to effectively compensate for substantial time delays.

Purpose of the Study:

  • To develop an automated tuning approach for I-PD controllers specifically designed for plants with long time delays.
  • To enhance the performance and stability of control systems in the presence of significant time delays.
  • To provide a robust method for controller gain determination that minimizes system error.

Main Methods:

  • Utilized sliding discrete Fourier transform (DFT) for real-time frequency response estimation of the plant.

Related Experiment Videos

  • Implemented a modified Smith predictor to effectively mitigate the impact of long time delays.
  • Employed an auto-tuning strategy to minimize the frequency response error between a reference model and the actual system.

    • Main Results:

    • The proposed auto-tuning approach successfully determined optimal I-PD controller gains for systems with long time delays.
    • The modified Smith predictor demonstrated significant reduction in the adverse effects of time delay.
    • The controller tuning minimized the error between the reference model and the actual system's open-loop frequency response.

    Conclusions:

    • The presented auto-tuning method offers an effective solution for controlling plants with long time delays.
    • The combination of sliding DFT and a modified Smith predictor provides a robust control scheme.
    • This approach enhances the applicability of I-PD controllers in challenging industrial automation scenarios.