A Simplified Predictive Current Control of Open-End Winding Permanent Magnet Synchronous Motor

Petkar, Sagar Gajanan; Kumar, Thippiripati Vinay

doi:10.1109/tpel.2022.3201337

Cited by 5 publications

(1 citation statement)

References 25 publications

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“…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]. Since planar motors suffer uncertain disturbances, including unmodelled dynamics, load variation, and external disturbance, the reasonable compensation of uncertain disturbances can improve the trajectory tracking performance of planar motors.…”

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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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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An enhanced predictive current control technique for interior permanent magnet synchronous motor drives with extended voltage space vectors for electric vehicles

Kumar,

Praveen Kumar

2024

Circuit Theory & Apps

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SummaryPermanent magnet synchronous motors (PMSM) are widely employed in the application of electric vehicles (EVs) due to their simplicity of operation. Model predictive current control (MPCC) is an advanced technique used to control the PMSM owing advantages like multi‐variable cost function and good dynamic performance. Cost function of predictive current control (PCC) does not require the flux weighting factor; hence, it is simple in the selection of suitable voltage vector (VV). The conventional PCC (C‐PCC) applied to interior PMSM (IPMSM) contains more torque and flux ripples as it includes only one set of voltage vectors for all speed ranges. In proposed PCC (P‐PCC), the magnitude and location of voltage vectors is to be selected as large and small VVs to reduce torque ripples. The P‐PCC in this article utilizes two set of extended voltage vectors (large and small VVs) based on the applied speed change in dynamic conditions and hence reduces the ripple content. Incorporating maximum torque per ampere (MTPA) control in this article serves the purpose of optimizing the machine performance. By adding MTPA to the proposed method, it is aimed to enhance the machine performance with less ripples and improved torque response. Simulation results are presented for conventional and P‐PCC to highlight the effectiveness and efficacy of the P‐PCC. The P‐PCC is experimentally verified with 3.7 kW PMSM using d‐SPACE controller.

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A Parameter Robust Fault-Tolerant Control Scheme for Open-Winding Permanent Magnet Synchronous Motors in Flux-Weakening Regions

Dong,

Zhang,

Zhang

et al. 2024

IEEE J. Emerg. Sel. Topics Power Electron.

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A Simplified Predictive Current Control of Open-End Winding Permanent Magnet Synchronous Motor

Cited by 5 publications

References 25 publications

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

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

An enhanced predictive current control technique for interior permanent magnet synchronous motor drives with extended voltage space vectors for electric vehicles

A Parameter Robust Fault-Tolerant Control Scheme for Open-Winding Permanent Magnet Synchronous Motors in Flux-Weakening Regions

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