This paper focuses on the multiobjective design optimization of permanent magnet synchronous linear motors (PMSLMs), which are applied to a high-precision laser engraving machine. A novel efficient method for PMSLM is proposed achieve optimal performances as indicated by high average thrust, low thrust ripple, and total harmonic distortion at different running speeds. First, based finite-element analysis (FEA) data, regression machine learning algorithm, called an extreme (ELM), introduced...

This article focuses on the local demagnetization fault recognition research of permanent magnet synchronous linear motor (PMSLM) and realizes accurate identification position degree demagnetized magnets. A system based S-transform (ST) particle swarm optimization-least squares support vector machine (PSO-LSSVM) is proposed. The ST makes induced electromotive force (EMF) signal with stronger characteristic expression ability, PSO-LSSVM model achieves better generalization ability higher...

This study focuses on optimisation design of permanent magnet linear synchronous motors that are applied in laser engraving machines with no cutting force. Traditional analytical method based magnetic field particle swarm algorithm was introduced to obtain the best combination motor structure parameters. By contrast, novel – Taguchi orthogonal array proposed optimise thrust and ripple. After experiments using finite‐element analysis, relative importance each parameter estimated detail....

In this article, a water-cooled structure with plates between the primary double-layer windings field of under short-term high overload conditions and periodic operations is calculated. Second, heat dissipation effects two different waterway topologies are designed compared. Based on thermal network analysis model multiphysical coupling model, effect motor obtained. order to obtain maximum sustainable working current that can withstand conditions, fast calculation model-response surface...

To realize the demagnetization fault diagnosis and degree estimation of permanent-magnet synchronous linear motors in motion applications with high precision multiple working conditions, a novel double closed-loop control an adaptive neuron (ALN) model reference system (MRAS) flux linkage observer is proposed this article. First, sliding-mode (SMC) introduced to design velocity loop obtain good speed adaptability. Then, MRAS established, ALN algorithm for modifying law online designed...

This paper investigates the modeling methods for structural design optimization of permanent magnet synchronous linear motors (PMSLMs), which are applied to motion machines. First, an initial PMSLM model is established by finite element analysis (FEA), and data space obtained subsequent rapid regression modeling. Second, a powerful machine learning method, that is, distance-weighted K-nearest neighbor algorithm (DW-KNNA), introduced establish calculation grasping nonlinear relationships...

This paper focuses on the thrust ripple reduction in permanent magnet synchronous linear motors (PMSLMs), which are applied to laser cutting machines. To meet high-precision performance requirements of machines, a novel auxiliary suppression device, tuned viscoelastic damper (TVD), is designed reduce PMSLM. First, TVD with structure and motion characteristics The PMSLM an integrated structure. Then, equivalent magnetization method used analyze thrust, excitation TVD. Under damping force...

This paper investigates a new method for the demagnetization fault recognition and classification in double-sided permanent magnet synchronous linear motors that are used motion applications. is based on time-time-transform (TT) coupled with extreme learning machine (ELM), which especially suitable industrial occasions such as motor batch inspection before delivery periodic maintenance. First, finite element analysis model faults built to extract three lines (up-line, center-line, down-line)...

This paper is dedicated to studying a new position measurement method of linear motor mover based on machine vision, which provides novel idea for the detection position. A rapid-precise system fence image and phase correlation algorithm (PCA) established. Multiline sampling parallel computing methods are used simplify directly; these can convert 2-D motion estimation into simpler, 1-D signal process. To rapidly detect with high precision, extended (EPCA) proposed. During measurement, three...

This paper focuses on the optimal design of permanent magnet linear synchronous motor (PMLSM) with trapezoidal magnets (TPMs) at multispeed that are applied in laser-engraving machines. Particle swarm optimization (PSO) and signal-to-noise (SN) ratio method proposed to minimize thrust ripple maintain average thrust. First, an analytical model based equivalent magnetic charge is presented analyze PMLSM TMPs, accuracy validated by finite-element method. Then, PSO optimize pole pitch (r), air...

In this article, dual-sided permanent magnet linear motors (DPMLM) have been wildly applied in motion occasions such as high-precision laser cutting machines. This article researches a new way for accurate demagnetization fault detection of DPMLM, and proposed method based on signal enveloping time-domain energy analysis can be suitably used some typical industrial motor batch inspection before delivery periodic maintenance. First, three magnetic signals air-gap region are selected index,...

This paper proposes a high-performance current regulation scheme to enhance the bandwidth and robustness of permanent magnet synchronous linear motor (PMSLM). First, disturbance caused by parameter variations thrust ripple is considered in modeling PMSLM. Based on model, two-degree-of-freedom (2-DOF) controller consisting improved predictive control (PCC) adaptive internal model derived. The PCC used overcome time delay increase bandwidth, whilst utilized estimate compensate PCC. Second, new...

Rolling bearing is a key component inside motor, and its health status directly affects the operational reliability of motor. Therefore, it absolutely necessary to conduct research on fault diagnosis. Most recent diagnosis algorithms are implemented desktop/server, which might not satisfy real-time requirement in industrial fields. In this study, an improved cyclostationary analysis algorithm proposed onto edge computing system diagnose motor real time. Considering traditional contact test...

This work proposes a new diagnostic method for high-resistance contact (HRC) and bearing faults in switched reluctance motor (SRM) on the basis of multisource signal visual fusion an intelligent classifier. First, electric vehicle experimental platform with SRM prototype is built, stator winding current vibration signals are collected noninvasive manner. Second, optimizing symmetrized dot pattern (OMSSDP) proposed to characterize fault realize 2D visualization enhancement under different...

This study researches the multi‐objective design optimisation of permanent magnet linear synchronous motors (PMSLMs) which are applied in high‐precision laser cutting machines. The innovative fuzzy inference Taguchi method (FITM) coupled with finite element analysis (FEA) is proposed to solve problems as well maximum motor thrust minimum ripple. On basis orthogonal array established by method, system was introduced translate multiple targets a single target. After optimal selection analysis,...

This article is dedicated to achieving the best thrust performance of high and low ripple permanent magnet synchronous linear motors (PMSLMs), which are used in precision positioning system. To achieve this, a novel PMSLM with double-layer reverse skewed coil (DRSC) designed optimized. First, topological structure DRSC-PMSLM introduced, effectiveness DRSC analyzed qualitatively according analytic model. Certain hypotheses that more suited qualitative analysis can lead accuracy Therefore, for...

Traditional design optimization methods for permanent magnet linear synchronous motor (PMLSM) always pursuit the optimal result without considering influence of uncertainties (manufacturing errors, use wear, etc.), which will in big fluctuations stability thrust performance. This article proposes a new filled function algorithm (NFFA) to improve PMLSM. It searches structure parameters that not only lay smooth area ripple distribution but also satisfy constraints under effect uncertainties....

This study investigates a novel image morphology texture feature extraction method to realize the demagnetization fault location and severity detection of double-sided permanent magnet synchronous linear motor (DPMSLM). Initially, according constraints DPMSLMs topology structure, three lines magnetic density signal in air gap is extracted by finite element analysis as effective signal. Then, grayscale fusion (GFI) introduced transform 1D data 2D fused which can better describe information....

A fault diagnosis and classification method based on a multisensor calibrated transformer with shifted windows (MSSwin-T) is proposed to classify the high-resistance connection (HRC) of switched reluctance motor (SRM). First, an experimental platform SRM-based electric vehicle drive system built. The nonintrusive acquisition used collect three-channel current signal SRM stator winding as HRC signal. Second, MSSwin-T, feature extraction framework ability establish global dependencies, extract...

To detect the eccentric fault of permanent magnet synchronous linear motor (PMSLM) safely, efficiently, and accurately, this article proposes a diagnosis method based on fusion feature extraction new hybrid network model. First, according to topology structure characteristics, tunneling magnetoresistance (TMR) sensor-integrated design scheme is put forward measure external stray magnetic field density signal PMSLM, which can realize noninvasive diagnosis. Second, 2-D image coding methods,...

This article investigates a novel demagnetization fault detection method for double-sided permanent magnet synchronous linear motors (DS-PMSLM) that are applied in laser cutting machines. First, finite-element analysis model of DS-PMSLM is built to preset different faults the magnets (PMs). Second, magnetic intensity distribution signals air gap region selected as signal first time detect DS-PMSLM. Three-line coupled with self-designed connection structure originally proposed obtain and...

To improve the accuracy of mover position detection with longer measurement range, a linear motor displacement method is proposed based on digital image and temporal sinusoidal fringe pattern phase retrieval. A simple computer-generated designed as target image, sequences signals are recorded by line scan camera that moves motor. Fourier analysis employed to extract initial each signal curve, then unwrapping applied reconstruct evolution according system magnification parameter width. This...