PSO-Based Self-Commissioning of Electrical Motor Drives

Calvini, Marco; Carpita, Mauro; Formentini, Andrea; Marchesoni, M.

doi:10.1109/tie.2014.2349478

Cited by 75 publications

(35 citation statements)

References 25 publications

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“…This section is therefore divided into three parts, each one presenting the results relative to the previous three issues. 10 Simulation tests are carried out using MATLAB Simulink. The simulation model includes the permanent magnet synchronous motor, the controller, and the three phase inverter which is modelled considering a dead time related voltage error of which the polarity varies according to the polarity of the phase currents.…”

Section: Proposed Control Strategy Assessment With Simulation and Expmentioning

confidence: 99%

“…Permanent magnet synchronous motors (PMSMs) are widely used in industry applications and different works have been proposed recently in literature [10][11][12][13][14]. In PMSMs, high-frequency electromagnetic torque ripple appears due to the distorted stator flux linkage, variable magnetic reluctance at the stator slots, and imperfect mechanical alignment.…”

Section: Introductionmentioning

confidence: 99%

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Enhanced DBCC for high‐speed permanent magnet synchronous motor drives

Tang

Gaeta²,

Formentini

et al. 2016

IET Power Electronics

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High bandwidth and accuracy of the current control loop are fundamental requisites when a fast torque response is required or for facilitating the reduction of torque ripple in high performance drives, especially at high speed. One of the most suitable control methods to achieve these goals is dead beat current control (DBCC). Many types of DBCC have been proposed and implemented in literature. This paper proposes a DBCC incorporating two new functionalities. One is a two steps current prediction to improve prediction accuracy when current measurements are taken place before each sampling period; and particularly to reduce the overshoot during transients when mean value is used as current feedback. The second is a novel compensation method for the rotor movement to eliminate offset errors which occur at high speed. Moreover, the dynamic and steady state performance of the proposed DBCC is assessed in simulations. On the basis of the simulation tests, the control parameters are tuned for experiments and the performance of the proposed functionalities are verified. Finally, the advantage of DBCC, compared with a classical dq PI current regulator, is verified in experiments.

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Section: Proposed Control Strategy Assessment With Simulation and Expmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhanced DBCC for high‐speed permanent magnet synchronous motor drives

Tang

Gaeta²,

Formentini

et al. 2016

IET Power Electronics

Self Cite

View full text Add to dashboard Cite

show abstract

“…A resolver with a 12 bit per revolution resolution has been used as position sensor. The parameters of the input stage have been experimentally identified using an approach similar to the one proposed in [30,31] and are reported in Table III. An LC filter with Δ-connected capacitors and no damping resistors has been used in this work.…”

Section: Robustness Analysismentioning

confidence: 99%

Speed Finite Control Set Model Predictive Control of a PMSM Fed by Matrix Converter

Formentini

Trentin

Marchesoni

et al. 2015

IEEE Trans. Ind. Electron.

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125

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“…Particle swarm optimization (PSO) was used to determine the optimal superposed harmonic phase angle and multiplied coefficient, which are widely applied in electrical engineering, such as electric demand forecasting [21], electric load forecasting [22], and electrical machine fields [23]. The control parameters can be identified by the PSO to improve the dynamic characteristics of the electrical motor drive system [24]. The PSO algorithm was also used to research a multi-objective optimization for switched reluctance motor design [25].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Speed Ripple Mitigation of a Space Vector Pulse Width Modulation-Based Permanent Magnet Synchronous Motor with a Particle Swarm Optimization Algorithm

Liu¹,

Du²,

Liang³

2016

Energies

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A method is proposed for reducing speed ripple of permanent magnet synchronous motors (PMSMs) controlled by space vector pulse width modulation (SVPWM). A flux graph and mathematics are used to analyze the speed ripple characteristics of the PMSM. Analysis indicates that the 6P (P refers to pole pairs of the PMSM) time harmonic of rotor mechanical speed is the main harmonic component in the SVPWM control PMSM system. To reduce PMSM speed ripple, harmonics are superposed on a SVPWM reference signal. A particle swarm optimization (PSO) algorithm is proposed to determine the optimal phase and multiplier coefficient of the superposed harmonics. The results of a Fourier decomposition and an optimized simulation model verified the accuracy of the analysis as well as the effectiveness of the speed ripple reduction methods, respectively.

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PSO-Based Self-Commissioning of Electrical Motor Drives

Cited by 75 publications

References 25 publications

Enhanced DBCC for high‐speed permanent magnet synchronous motor drives

Enhanced DBCC for high‐speed permanent magnet synchronous motor drives

Speed Finite Control Set Model Predictive Control of a PMSM Fed by Matrix Converter

Analysis and Speed Ripple Mitigation of a Space Vector Pulse Width Modulation-Based Permanent Magnet Synchronous Motor with a Particle Swarm Optimization Algorithm

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