2009 European Control Conference (ECC) 2009
DOI: 10.23919/ecc.2009.7074664
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Feedforward based two degrees of freedom formulation of the Virtual Reference Feedback Tuning approach

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Cited by 6 publications
(4 citation statements)
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“…These methods formulate the optimization problem in terms of the time-domain tracking error between the reference signal and the system output. It should be mentioned that the proposed FOPI control method ensures time-domain and frequency-domain specifications of determined system simultaneously, which may offer more robustness for the designed system. The traditional data-driven methods are used for the tuning of IOPI controller, including two degrees of freedom PI controller (Rojas and Vilanova, 2009), performance monitoring (Yin and Huang, 2015) and fault diagnosis (Hao et al, 2014; Wang et al, 2017). This paper explores model-free (also named data-driven) method for the FOPI controller tuning.…”
Section: Vrft-based Design Of Model-free Fopi Controller For Pmsm Systemmentioning
confidence: 99%
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“…These methods formulate the optimization problem in terms of the time-domain tracking error between the reference signal and the system output. It should be mentioned that the proposed FOPI control method ensures time-domain and frequency-domain specifications of determined system simultaneously, which may offer more robustness for the designed system. The traditional data-driven methods are used for the tuning of IOPI controller, including two degrees of freedom PI controller (Rojas and Vilanova, 2009), performance monitoring (Yin and Huang, 2015) and fault diagnosis (Hao et al, 2014; Wang et al, 2017). This paper explores model-free (also named data-driven) method for the FOPI controller tuning.…”
Section: Vrft-based Design Of Model-free Fopi Controller For Pmsm Systemmentioning
confidence: 99%
“…The traditional data-driven methods are used for the tuning of IOPI controller, including two degrees of freedom PI controller (Rojas and Vilanova, 2009), performance monitoring (Yin and Huang, 2015) and fault diagnosis (Hao et al, 2014; Wang et al, 2017). This paper explores model-free (also named data-driven) method for the FOPI controller tuning.…”
Section: Vrft-based Design Of Model-free Fopi Controller For Pmsm Systemmentioning
confidence: 99%
See 1 more Smart Citation
“…It also performs many experiments to update the controller parameters to minimize the performance index, so that it is not effective nor efficient to tune controller parameters, because it takes several times and costs. Campi et al [19] proposed virtual reference feedback tuning (VRFT); Lecchini et al [20] proposed 2DOF VRFT; Rojas et al [21] proposed a feedforward formulation of the VRFT method based on a 2DOF control configuration; and Gazdos et al [22] proposed a VRFT method for iterative controller design and fine tuning. VRFT uses a set of measured input/output data for the design of a controller with the desired structure, but without restrictions on data generation.…”
Section: Introductionmentioning
confidence: 99%