Fractional-order controller tuning via minimization of integral of time-weighted absolute error without multiple closed-loop tests
Ansei Yonezawa, Heisei Yonezawa, Shuichi Yahagi, Itsuro Kajiwara, Shinya Kijimoto

TL;DR
This paper introduces a non-iterative, cost-effective method for tuning linear fractional-order controllers by minimizing the ITAE criterion without multiple experiments, using a fictitious reference signal derived from collected data.
Contribution
The proposed approach eliminates the need for repeated closed-loop tests in FO controller tuning by reformulating the ITAE minimization with a fictitious reference signal.
Findings
Reduces tuning cost and complexity for FO controllers.
Effectively suppresses overshoot and steady-state error.
Validated through numerical simulations.
Abstract
This study presents a non-iterative tuning technique for a linear fractional-order (FO) controller, based on the integral of the time-weighted absolute error (ITAE) criterion. Minimizing the ITAE is a traditional approach for tuning FO controllers. This technique reduces the over/undershoot and suppresses the steady-state error. In contrast to conventional approaches of ITAE-based controller tuning, the proposed approach does not require multiple closed-loop experiments or model-based simulations to evaluate the ITAE. The one-shot input/output data is collected from the controlled plant. A fictitious reference signal is defined on the basis of the collected input and output signal, which enables us to evaluate the closed-loop response provided by the arbitrary controller parameters. To avoid repeated experiments that are necessary in the conventional approach, we reformulate the ITAE…
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