Tuning of extended state observer with neural network-based control performance assessment

Kicki, Piotr; Łakomy, Krzysztof; Lee, Ki Myung Brian

doi:10.48550/arxiv.2103.15516

Cited by 1 publication

(2 citation statements)

References 42 publications

(70 reference statements)

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“…Besides its simplistic form, such approach results in a relatively good performance, even comparing to the situations when the eigenvalues are selected separately (see [37]).…”

Section: Observer Bandwidth ω Omentioning

confidence: 99%

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Active Disturbance Rejection Control (ADRC) Toolbox for MATLAB/Simulink

Giernacki¹,

Łakomy²,

Michalski³

et al. 2021

Preprint

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In this paper, an active disturbance rejection control (ADRC) toolbox for MAT-LAB/Simulink is introduced. Although ADRC has already been established as a powerful robust control framework with successful industrial implementations and strong theoretical foundations, a comprehensive tool for computer-aided design of ADRC has not been developed until now. The proposed ADRC Toolbox is a response to a growing need of both scientific community and control industry looking for a straightforward software utilization of the ADRC methodology. Its main purpose is to fill the gap between current theories and applications of ADRC and to provide an easy-to-use solution to users in various control fields wanting to employ the ADRC scheme in their applications. The ADRC Toolbox contains a single, general-purpose, drag-and-drop function block allowing to synthesize a predefined ADRC-based strategy with minimal design effort. Its efficacy is validated here in both simulations and hardware experiments, conducted using a variety of problems known from motion, process, and power control areas. The proposed ADRC Toolbox is an open-source project 1 .

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“…Besides its simplistic form, such approach results in a relatively good performance, even comparing to the situations when the eigenvalues are selected separately (see [37]).…”

Section: Observer Bandwidth ω Omentioning

confidence: 99%

“…By default, these values are to be set constant in the ADRC function block, or alternatively provided as external time-dependent values. In the latter case, their specific values can be calculated, for example, using a neural network [37],…”

Section: Overviewmentioning

confidence: 99%