PFC Design via FRIT Approach for Adaptive Output Feedback Control of Discrete‐Time Systems

Mizumoto, Ikuro; Takagi, Toshiharu; Fukui, Sota; Shah, Sirish L.

doi:10.1002/eej.22456

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…Mizumoto and Fujimoto presented the idea that a feedforward input obtained by adaptive predictive control could compensate for the steady state error. Several other extended works have been published based on this idea. In these publications, the adaptive predictive control output was obtained based on neural networks or generalized predictive control (GPC), which implied that the control structure was complex, and learning cost is considerable large.…”

Section: Introductionmentioning

confidence: 99%

Design and Experimental Evaluation of a Discrete‐time ASPR‐based Adaptive Output Feedback Control System Using FRIT

Guan¹,

Wakitani

Mizumoto

et al. 2018

Asian Journal of Control

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This paper describes the design of an adaptive output feedback control system in discrete-time, based on almost strictly positive real (ASPR)-ness with a feedforward input. It is well-known that an adaptive output feedback control system based on ASPR conditions can achieve asymptotic stability via a constant feedback gain. Unfortunately, most realistic systems are not ASPR because of the severe conditions. The introduction of a parallel feedforward compensator (PFC) is an efficient way to alleviate such restrictions. However, the problem remains that there exists a steady state error between the output of the augmented system and the output of the original system. The proposed scheme provides a strategy wherein the feedforward input is utilized such that the steady state error is removed. Furthermore, the fictitious reference iterative tuning (FRIT) approach is employed to determine the control parameters using one-shot input/output experimental data directly, without prior information about the control system. This paper explains how the FRIT approach is applied in designing an adaptive output feedback control system. The effectiveness of the proposed scheme is confirmed experimentally, by using a motor application.

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Section: Introductionmentioning

confidence: 99%