Dual-Stage Control Strategy for a Flying Capacitor Converter Based on Model Predictive and Linear Controllers

Lezana, Pablo; Norambuena, Margarita; Aguilera, Ricardo P.

doi:10.1109/tii.2021.3096947

Cited by 11 publications

(3 citation statements)

References 29 publications

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“…Switching between controllers is a challenging task that causes undesired bumps and oscillations [61]. An HC approach is utilized in [127] to commutate between model predictive control and a linear PI controller to control a flying capacitor VSI. An average-current ripple-based HC scheme is proposed, along with an artificial neural network-based method, in [61] for PMSM drive systems.…”

Section: Hysteresis Controlmentioning

confidence: 99%

Recent Achievements in the Control of Interior Permanent-Magnet Synchronous Machine Drives: A Comprehensive Overview of the State of the Art

Stumpf,

Tóth-Katona

2023

Energies

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Interior permanent-magnet synchronous machines (IPMSMs) are widely used as traction motors in electric drive-trains because of their high torque-per-ampere characteristics and potential for wide field-weakening operations to expand the constant-power range. This paper offers a categorization and a comprehensive overview of the control techniques applied to IPMSM drivesin addition to presenting the necessary theoretical background. The basic concept, features and limitations, as well as the latest developments of the strategies, are summarized in the paper. This overview helps to lay the theoretical basis as well as to clarify the opportunities, challenges and future trends for controlling IPMSM drives for traction applications.

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Section: Hysteresis Controlmentioning

confidence: 99%

Recent Achievements in the Control of Interior Permanent-Magnet Synchronous Machine Drives: A Comprehensive Overview of the State of the Art

Stumpf,

Tóth-Katona

2023

Energies

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“…As for the existing MPC strategies in FCC converters, the majority of them are based on FCS-MPC [38,[58][59][60][61][62][63][64], with practically no studies being reported in the literature using CCS-MPC for this type of converter.…”

Section: Mpc In Converter Topologies Typically Used In Sstsmentioning

confidence: 99%

Model Predictive Control for Solid State Transformers: Advances and Trends

2022

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Due to its high functionality, the solid state transformer (SST) represents an emerging technology with huge potential to replace the conventional low-frequency transformer (LFT) in a wide range of applications, including railway traction, smart grids, and others. On the other hand, model predictive control (MPC) has proven to be a highly promising control approach for several power electronics systems, especially those based on multiple power converters. Considering these facts, over recent years, different MPC techniques have been proposed for different types of SSTs. In addition to that, numerous MPC strategies have also been investigated for various power converters topologies that can be used in SSTs. However, a paper summarizing and discussing MPC strategies in the framework of SSTs has not yet been proposed in the literature, being the main goal of this work. In this paper, all the existing MPC techniques in complete SST topologies will be presented and discussed. In addition, for the sake of the example, an overview of MPC strategies in converter topologies typically used in SSTs will also be presented.

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“…For planar motors, most control methods have been developed for high-precision point-to-point motion; and only several control methods have been exploited for high-precision trajectory tracking motion, such as the optimal proportional-integral-derivative (PID) control [6], data-driven model-free optimal control [7], hybrid control combining of adaptive robust control and iterative learning control [8], and model predictive control (MPC) [9]. It is found that MPC is an attractive and promising optimal control method due to its merits, such as simplicity in design and implementation, fast dynamic response, broad applicability, and strong ability to multiobjective constrained optimisation [10][11][12]. Currently, MPC has gained increasing attention and application in fast-varying motor systems [13][14][15] and has been emerging and applied in planar motors [1,9].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear‐disturbance‐observer‐based predictive control for trajectory tracking of planar motors

Huang,

Xu,

Cao

et al. 2023

IET Electric Power Appl

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To improve the trajectory tracking performance of planar motors against disturbances, model predictive position control (MPPC) methods using the non‐linear disturbance observer (NDO) are proposed in this study. Based on the single‐axis dynamic model with disturbances, a single‐axis NDO is designed using an extended state observer approach. The designed NDO is expressed as a third‐order non‐linear state‐space equation in which the position error, velocity error, and lumped disturbance in the single axis are taken as the state variables. Two MPPC methods are developed based on the NDO. In the first MPPC, the disturbance is embedded into the prediction model using the NDO, and a controller is designed to minimise a quadratic cost function, which is established by applying the prediction model with disturbance. The output of the controller is the control action. In the second MPPC, a controller is used to minimise the quadratic cost function, which is built by employing the prediction model without disturbance. The sum of the output of the controller and the compensated disturbance estimated by the NDO is the control action. The comparative experiment is performed on a planar motor system self‐developed in the laboratory. The effectiveness of the proposed methods is verified via the experimental results.

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Dual-Stage Control Strategy for a Flying Capacitor Converter Based on Model Predictive and Linear Controllers

Cited by 11 publications

References 29 publications

Recent Achievements in the Control of Interior Permanent-Magnet Synchronous Machine Drives: A Comprehensive Overview of the State of the Art

Recent Achievements in the Control of Interior Permanent-Magnet Synchronous Machine Drives: A Comprehensive Overview of the State of the Art

Model Predictive Control for Solid State Transformers: Advances and Trends

Nonlinear‐disturbance‐observer‐based predictive control for trajectory tracking of planar motors

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