Customized PMSM Design and Optimization Methodology For Water Pumping Applications

Candelo-Zuluaga, Carlos; Riba, Jordi-Roger; Espinosa, Antonio García; Tubert, Pere

doi:10.1109/tec.2021.3088674

Cited by 13 publications

(7 citation statements)

References 29 publications

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“…This section describes the evaluation of the performance of a real PMSM by applying the methodology proposed in this paper. This motor was designed and verified in previous work [35], whose characteristics are shown in Table 1. First, the PMSM is connected according to the experimental setup shown in Figure 1.…”

Section: Resultsmentioning

confidence: 99%

“…Once the torque-speed-efficiency map is obtained using the parameter estimation process exclusively, it is compared against the torque-speed-efficiency map evaluated using the FEA model developed in Comsol Multiphysics ® , where the copper and iron losses are modeled. In addition, for a deeper analysis, the experimental torque-speed-efficiency map is obtained from a previous study [35], thus obtaining its performance in real conditions. Finally, the computational burden is estimated.…”

Section: Resultsmentioning

confidence: 99%

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PMSM Torque-Speed-Efficiency Map Evaluation from Parameter Estimation Based on the Stand Still Test

2021

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During the last decades, a wide variety of methods to estimate permanent magnet synchronous motor (PMSM) performance have been developed. These methodologies have several advantages over conventional procedures, saving time and economic costs. This paper presents a new methodology to estimate the PMSM torque-speed-efficiency map based on the blocked rotor test using a single-phase voltage source. The methodology identifies the stator flux linkage depending on the current magnitude and angle while providing a detailed estimation of the iron losses. The torque-speed-efficiency map provides detailed information of the motor efficiency along its operating region, including the nominal conditions and the maximum power envelope. The proposed methodology does not require knowing the geometry of the machine to perform any load test, and it also avoids using expensive measurement devices and a complex experimental setup. Moreover, the proposed method allows the PMSM performance to be reproduced by applying different control strategies, which is useful when testing different drives. The method does not require the application of any optimization algorithm, thus simplifying and speeding up the process to determine the performance. Experimental validation is carried out by comparing motor performances obtained through the proposed method with those obtained by means of a conventional experimental method and against finite element analysis (FEA).

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

PMSM Torque-Speed-Efficiency Map Evaluation from Parameter Estimation Based on the Stand Still Test

2021

Self Cite

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“…Since permanent magnet synchronous motors (PMSMs) have great qualities, including high power density, high power factor, and reasonable control performance [1], they are widely utilized in new energy vehicles [2,3], oilfield exploration [4], aviation [5], and other fields. However, because PMSMs are frequently used in high-speed, high-frequency, high-power * Author to whom any correspondence should be addressed.…”

Section: Introductionmentioning

confidence: 99%

A new LSTNet-based temperature prediction model for permanent magnet

Guo,

Chen,

Wang

et al. 2024

Meas. Sci. Technol.

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Permanent magnet synchronous motors (PMSMs) can effectively protect against demagnetization by accurate permanent magnet (PM) temperature prediction; nevertheless, due to the nonlinear properties and intricate internal structure of PMSMs, accurate PM temperature prediction methods still encounter difficulties. This paper proposes a new PM temperature prediction model (LSTNet-Improved) based on long- and short-term time series network (LSTNet) to increase the prediction accuracy of PM temperature. By adding a multi-scale convolutional (MSC) layer to the convolutional neural network (CNN) layer of LSTNet, the short-term detail-dependent information between PMSM variables can be obtained by the model, and adds a convolutional neural network skip (CNN-skip) layer in place of the gate recurrent unite skip (GRU-skip) layer to find the long- and short-term local repetitive patterns between the variables, which yields additional feature information. Furthermore, a nonlinear bias term (MNB) is added to the original multi-head attention (MHA) layer in order to solve the complex nonlinear relationship between multivariate time series. These layers are applied after the CNN-skip layer and gated recurrent unite (GRU) layers, respectively. This allows the model to become more robust and automatically learn to the complex nonlinear relationship between the sequences, focus on the important feature information, and lessen the impact of redundant information on the PMs' temperature prediction task. The experimental results show that the goodness of fit (R2), root mean square error (RMSE) and mean absolute error (MAE) of the proposed model are 99.93%, 14.55% and 9.45%, respectively, and compared with LSTNet, the R2 is improved by 0.09%, the RMSE and MAE are reduced by 7.03% and 6.51%. These results confirm that the model can correctly predict the PM temperature, efficiently extract both long- and short-term patterns among the variables of the PMSM, and effectively focus on the key feature information in the intricate nonlinear series.

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“…However, its energy consumption is significant compared to other machinery [1]. Therefore, researchers like [1] propose improving the mechanical pump design, while others suggest replacing the IM with more efficient permanent magnet synchronous motors (PMSMs) [2][3][4][5][6]. This manuscript focuses on moving centrifugal pumps with PMSMs.…”

Section: Introduction 1motivationsmentioning

confidence: 99%

“…Here, centrifugal pumps driven by PMSMs have a 5%, 8%, and 10% higher efficiency than those driven by IMs for flow rates of 100 m 3 /h at 100%, 80%, and 60% speeds, respectively. The works [3,4] propose customizing PMSM design for this application, while [5,6] study a variable speed PMSM for water pumps powered by an AC-AC converter fed by photovoltaic panels. The works [5,6] use a two-level voltage source inverter controlled by model reference adaptive control (MRAC).…”

Section: Introduction 1motivationsmentioning

confidence: 99%

Adaptive Control of M3C-Based Variable Speed Drive for Multiple Permanent-Magnet-Synchronous-Motor-Driven Centrifugal Pumps

Mendoza-Becker,

Travieso-Torres,

Díaz

2023

Machines

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There has been growing interest in using permanent magnet synchronous motors (PMSMs) for pumping applications to improve energy efficiency. One promising approach for powering these motors in variable speed applications is using an M3C due to its inherent fault tolerance capability. However, M3C converters require a more complex control system than simpler converters. For instance, a basic M3C control system for power transmission requires seventeen PI controllers, whose fixed adjustment depends on the M3C’s dynamical model parameters’ value knowledge, needing initial extensive and time-consuming testing to obtain it. As an alternative, we propose an adaptive M3C control system for variable speed drives powering multiple PMSM-driven centrifugal pumps that reduces the number of controllers to six. Furthermore, the proposal does not require initial knowledge of the converter, motor, or load parameters, making it more practical and versatile. The proposal introduces an ad hoc hybrid passivity-based model reference adaptive controller in cascade with a passivity-based control. It was validated through theoretical stability proof and comparative simulation results with a basic control system under normal and fault operations. As a result, the proposal effectively follows the required rotor speed while enhancing performance by decreasing the current consumption and recovering from a 10% input phase imbalance, a cell short circuit, an open cell, and parameters changes of the motor–pump set.

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Customized PMSM Design and Optimization Methodology For Water Pumping Applications

Cited by 13 publications

References 29 publications

PMSM Torque-Speed-Efficiency Map Evaluation from Parameter Estimation Based on the Stand Still Test

PMSM Torque-Speed-Efficiency Map Evaluation from Parameter Estimation Based on the Stand Still Test

A new LSTNet-based temperature prediction model for permanent magnet

Adaptive Control of M3C-Based Variable Speed Drive for Multiple Permanent-Magnet-Synchronous-Motor-Driven Centrifugal Pumps

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