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Closed loop direct adaptive inverse control for linear plants.

Muhammad Amir Shafiq1, Muhammad Shafiq2, Nisar Ahmed1

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Summary
This summary is machine-generated.

A new closed-loop direct adaptive inverse control (CDAIC) method enhances tracking and disturbance rejection compared to traditional direct adaptive inverse control (DAIC). This advanced control strategy offers improved performance for linear plants.

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Area of Science:

  • Control Systems Engineering
  • Adaptive Control Theory
  • Robotics and Automation

Background:

  • Direct adaptive inverse control (DAIC) estimates controller parameters in the feed-forward loop.
  • DAIC has limitations in tracking accuracy, error convergence, and disturbance rejection.
  • Adaptive control is crucial for systems with unknown or changing dynamics.

Purpose of the Study:

  • To introduce a novel closed-loop direct adaptive inverse control (CDAIC) scheme.
  • To enhance the tracking, error convergence, and disturbance rejection capabilities of adaptive inverse control.
  • To evaluate the performance of CDAIC against DAIC for linear plants.

Main Methods:

  • Development of the closed-loop direct adaptive inverse control (CDAIC) algorithm.
  • Simulation-based comparison of CDAIC and DAIC.
  • Testing on discrete-time, non-minimum phase linear plants under both disturbance-free and disturbed conditions.

Main Results:

  • CDAIC demonstrated superior performance over DAIC in simulations.
  • Significant improvements were observed in mean square tracking error for CDAIC.
  • Enhanced disturbance rejection capabilities were evident in the CDAIC scheme.

Conclusions:

  • The proposed CDAIC scheme offers significant advantages over traditional DAIC.
  • CDAIC is a viable and improved approach for controlling stable or stabilized linear plants, including non-minimum phase systems.
  • The enhanced performance makes CDAIC suitable for applications requiring high tracking accuracy and robustness to disturbances.