Data-Driven Model-Free Adaptive Current Control of a Wound Rotor Synchronous Machine Drive System

Hashjin, Saeid Aghaei; Pang, Shengzhao; Miliani, El-Hadj; Ait-Abderrahim, Karim; Nahid‐Mobarakeh, Babak

doi:10.1109/tte.2020.3006722

Cited by 38 publications

(11 citation statements)

References 31 publications

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“…From the energy point of view, Assumption 2 means that a physical plant's energy change rate is limited if the control input changes within a finite altitude. Many practical systems, such as the wound rotor synchronous machine system, 38 variable polarity plasma arc welding system, 39 and even for implantable heart pump system, 40 have been proved to satisfy this assumption.…”

Section: Problem Formulationmentioning

confidence: 99%

Event‐triggered model‐free adaptive predictive control for multiple‐input and multiple‐output networked control systems under deception attacks

Hou

2023

Intl J Robust & Nonlinear

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The event‐triggered model‐free adaptive predictive control (ET‐MFAPC) problem for a class of multiple‐input and multiple‐output nonlinear networked control systems (NCSs) with network delay under deception attacks is addressed in this article. First, a data driven MFAPC strategy with adaptive predictive gain is proposed by transforming the NCSs into an equivalent data model via dynamic linearization technology and designing controller only with I/O information rather than the system model. Meanwhile, an ET mechanism is applied to reduce the amount of data transmission under the limited network bandwidth. Further, the boundedness and convergence of tracking error is rigorous proved through the contraction mapping principle. Finally, the theoretical results are demonstrated through detailed simulations.

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Section: Problem Formulationmentioning

confidence: 99%

Event‐triggered model‐free adaptive predictive control for multiple‐input and multiple‐output networked control systems under deception attacks

Hou

2023

Intl J Robust & Nonlinear

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“…To ensure the control precision, data-driven control can be employed for the presynchronization control of ship microgrid inverters. One such method is model-free adaptive control (MFAC), which is extensively utilized in the control of wound rotor synchronous machines in wound rotor synchronous machine control (Hashjin et al, 2020), wind farm control (Shi et al, 2020), aircraft trajectory control (Jiang et al, 2021), and other fields in recent years. MFAC creates a dynamic linearization method by utilizing the system inputs and outputs (Xiong and Hou, 2020), which is suitable for presynchronization controller design with the following reasons: (1) accurate mathematical model of controlled system and external testing signals are not required; (2) the MFAC controller has small calculation burden, simple structure, finite-time convergence, and predominant robustness; and (3) the stability of MFAC controller can be guaranteed under reasonable assumptions.…”

Section: Introductionmentioning

confidence: 99%

Presynchronization control for ship microgrid of merchant marine inverters based on VSG algorithm with MFAC

Yao,

Pei,

Chi

et al. 2024

Transactions of the Institute of Measurement and Control

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The paper studies a presynchronization control of grid connection for large merchant marine microgrid inverters. We present a virtual synchronous generator (VSG) algorithm with model-free adaptive control (MFAC) to optimize the stable grid connection of ship microgrid and shore-to-ship power. To solve poor precision of presynchronization control under nonideal ship microgrid condition, an MFAC controller and its presynchronization method are developed for grid connection of ship-distributed generation inverters. The proposed presynchronization control method effectively avoids a high transient overcurrent and achieves a seamless grid connection to different types of shore power. The simulation results verify the effectiveness of the proposed control method.

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“…A lazy‐learning‐based predictive MFAC 14 is proposed for nonlinear systems. Additionally, MFAC has found many successful applications, including machine drive systems, 15 chemical process control, 16 wind turbine control systems, 17 multi‐agent systems 18 and so forth.…”

Section: Introductionmentioning

confidence: 99%

Data‐driven set‐point tuning of model‐free adaptive control

Lin

Chi

Liu

et al. 2023

Intl J Robust & Nonlinear

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Model-free adaptive control (MFAC) is an effective data-driven control method to deal with nonlinear and nonaffine systems. In this article, a data-driven set-point tuning (DDST) approach is proposed for MFAC to enhance its control performance. The proposed data-driven set-point tuning based MFAC (DDST-MFAC) system consists of two control loops. The inner control loop takes the MFAC as the feedback controller where a virtual reference error signal is adopted in the control input. The DDST in the outer loop is derived from an ideal nonlinear set-point tuning (NST) law, which exists in theory, to meet the control target. To realize the theoretically existing NST, a dynamic linearization (DL) technique is introduced. Virtually, the ideal NST law is independent of any controlled system, regardless linear or nonlinear, having an exact model or not. Since the nonlinear system considered in this work does not have any model information available to the designers, the parameter estimation law of the DDST is designed by using the DL method to transfer the original nonlinear system into a linear data model (LDM) with a projection algorithm to estimate the unknown parameters in the LDM. The convergence of tracking error is proved for a regulation scenario. Simulation study is provided to verify the theoretical results.

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Data-Driven Model-Free Adaptive Current Control of a Wound Rotor Synchronous Machine Drive System

Cited by 38 publications

References 31 publications

Event‐triggered model‐free adaptive predictive control for multiple‐input and multiple‐output networked control systems under deception attacks

Event‐triggered model‐free adaptive predictive control for multiple‐input and multiple‐output networked control systems under deception attacks

Presynchronization control for ship microgrid of merchant marine inverters based on VSG algorithm with MFAC

Data‐driven set‐point tuning of model‐free adaptive control

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