In this article, an active disturbance rejection controller (ADRC) based on deep reinforcement learning (DRL) algorithm is proposed to be used in the flux weakening control (FWC) system of motors for more electric aircraft. Artificial intelligence introduced into ADRC motor first time, and DRL designed as automatic tuning parameters optimization ADRC. The interface module scheme realize conversion between relevant quantities Agent according characteristics are optimized form parameter...

This article proposes an improved model-free active disturbance rejection deadbeat predictive current control(ADRDPCC) method for permanent magnet synchronous motor (PMSM) used in more electric aircraft (MEA) based on the data driven method, which is to solve parameter mismatch problem of control (DPCC) and improve performance PMSM system. DPCC model applied loop MEA established as main strategy The principle combined with DPCC, ADRDPCC structure formed optimize strategy. A specific extended...

An improved practical two-dimensional model for the analytical calculation of magnetic field distributions in permanent magnet (PM) eddy current couplings is presented to obtain torque characteristics. By establishing Cartesian coordinate reference system on rotating conductor, PM region treated as a source traveling wave and then multi-layer boundary value problem solved. The formulation blocks, saturation effects solid secondary back iron, equivalence relationships between typical shapes,...

In this paper, a novel topology of hybrid-permanent-magnet switched-flux memory machine (HPM-SFMM) is proposed, which characterized by conventional SFPM with embedded "V"-shaped Al-Ni-Co magnet poles. The proposed combines the distinct synergies torque enhancement in neodymium-iron-boron (NdFeB) PM and flux variability aluminum-nickel-cobalt (AlNiCo) PM. By changing magnetization directions magnets, wide-speed-range high-efficiency operation can be readily achieved, highly favorable for...

Permanent magnet synchronous motors (PMSMs) are increasingly used in the field of aerospace due to their high efficiency and power density. High electromagnetic load lightweight structure have been employed motor design improve However, saturation performance iron-core material limits application magnetic is only rotor design. In this paper, four models investigate that applied stator high-performance soft alloy core adoption can density PMSM. The performances compared verify proposed method...

This paper presents a novel switched-flux memory motor (SFMM) by artfully incorporating the flux-mnemonic concept into conventional permanent magnet machine. The magnetic susceptibility of AlNiCo PM provides flexible online controllability air-gap flux imposing transient current pulse. To uniformize magnetization levels PMs, time-divisional strategy (TDMS) is proposed. Due to uniqueness hysteresis nonlinearity and instability regarding operating point, time-stepping finite element method...

This article proposes a multi-objective optimization method for the design of new dual-stator arc permanent magnet machine (DS-APMM) which can be applied on direct-drive scanning systems with limited angular movement, such as radar, large telescope. The proposed integrates light gradient boosting (LightGBM) differential evolution algorithm (DEA) to achieve optimal objectives high back electromotive force, low total harmonic distortion, average torque, and torque ripple at different rotor...

In this article, an improved hybrid particle swarm optimization (IHPSO) algorithm is proposed to solve the problem of controller parameters in design a permanent magnet synchronous motor (PMSM) servo system. The presents directional mutation operation particles, which fixes position some particular particles so as enhance searching ability remote regions. order cooperate with operation, updating formula velocity ulteriorly improved. Then, IHPSO adopted optimize designed controller. A...

In this article, a multiscenario parameter optimization method for an active disturbance rejection controller (ADRC) of permanent magnet synchronous motor (PMSM) based on deep reinforcement learning (DRL) is proposed as MSPO-DRL. The setting the nonlinear ADRC has always been one difficulties affecting optimal performance ADRC, and there will be different parameters under control requirements. artificial intelligence algorithm introduced into process DRL model that can automatically optimize...

In this article, a novel active disturbance rejection control (ADRC) based on deep reinforcement learning (DRL) is proposed to improve the performance of permanent magnet synchronous motor (PMSM) for more electric aircraft (MEA). MEA motors have requirements safety and stability so that new ADRC method put forward limitation nonlinear error attenuation function traditional ADRC. The flux weakening model PMSM firstly established. Then built applied speed loop system. order reduce number...

This paper presents a method for analytically analyzing the magnetic field and predicting cogging force torque of linear rotary permanent magnet actuator (LRPMA). The tubular mover LRPMA is transferred into planar one by using proposed curvature factor relative permeance function stator slotting so as to simplify calculation. Magnetic distributions when neglected are analyzed scalar potential, validated 3-D finite-element method. slotted subsequently predicted Maxwell stress tensor verified...

This paper presents a 3-D analytical magnetic field analysis of an air-cored axial-flux Halbach permanent-magnet machine (AFPMM with Halbach). The distribution is established using the scalar potential and modified BESSEL functions in cylindrical coordinate system. distributions electromagnetic force are derived verified by computation results finite-element method.

This paper develops a design methodology for switched flux (SF) hybrid permanent magnet memory machines (HPMMMs). The memorable is achieved due to the variable magnetization level of low coercive force (LCF) magnets (PMs) Thus, associated excitation loss negligible, resulting in high efficiency operation over wide speed range. A general PM magnetic circuit modeled, which characterized by spoke-array NdFeB PMs and LCF sandwiched between an outer stator ring inner pole. Based on circuit,...

Proper use of phase-controlled switching technology by controlling the making or breaking circuit breaker (CB) at predetermined phase angles current voltage can improve service life CB, avoid relay protection device from mal-operation, and reduce impact on power grid when equipment load is energized taken out. This paper proposes a novel method to address influence residual flux for three-phase wye winding unloaded transformers with three limbs, such as large capacitor variable frequency...

This paper proposes a novel consequent-pole hybrid excited vernier machine (CPHEVM) by combining concept and structure, the magnet arrangement is employed on outer rotor. The proposed can achieve high torque density at low speed excellent flux-weakening capability speed, which are highly desirable for electric vehicle applications. direct current field windings embedded between modulating poles, increase space utilization ratio to enable flux regulation without decreasing capability....

Improving photovoltaic systems in terms of temporal responsiveness, lowering steady-state ripples, high efficiency, low complexity, and decreased tracking time under various circumstances is becoming increasingly important. A particle-swarm optimizer (PSO) frequently used for maximum power-point (MPPT) (PV) energy systems. However, during partial-shadowing (PSCs), this technique has three major drawbacks. The first problem that it slowly converges toward the power point (MPP). second issue...

This paper presents a novel dual-stator hybrid excited synchronous wind generator and describes its structural features operation principle. The no-load magnetic fields with different field currents are computed by 3-D finite-element method. Static characteristics, including the flux-linkage EMF waveforms of stator windings, inductance armature windings winding, analyzed. simulation results show that due to structure, air-gap flux can be easily controlled, while output voltage increased...

This paper presents the design method of a permanent-magnet (PM) actuator and an intelligent control module for associated PM contactor. The original parameters are obtained using magnetic circuit method. optimization model is solved by genetic algorithm simulated annealing algorithm. A monostable cylindrical 140-A contactor designed, corresponding developed. dedicated technique based on voltage feedback proposed to realize dynamic adjustment making process electromagnetic force calculation...

The memory machine concept is recently extended to switched-flux (SF) machines, forming a series of SF hybrid magnet machines (SF-HMMMs). They exhibit the merits good demagnetization withstand capability and effective flux adjustability. Nevertheless, torque density inevitably compromised due geometric conflict within stationary part. Meanwhile, inactivated dc coil, excluding online magnetization transients, results in system redundancy. Hence, this paper, new hybrid-excited (HE) developed...

This paper presents a 3-D analytical magnetic field analysis of an air-cored axial flux permanent-magnet machine The distribution is established using the scalar potential and modified BESSEL functions in cylindrical coordinate system. distributions electromagnetic force are derived verified by computational results finite element method.

This article presents an optimization design method for a double-stator hybrid excited permanent magnet arc motor (DS-HE-PMAM). The proposed combining the machine learning algorithm random forest (RF) and nondominated sorting genetic algorithm-II (NSGA-II) contributes to achieving high average torque, low torque ripple, back electromotive force (EMF), total harmonic distortion of EMF. First, structure working principle DS-HE-PMAM are illustrated. selection parameters be optimized is...

The arc permanent magnet motor (arc motor) is widely used in large telescope for its high efficiency and power density. Due to the unique structure, periodic end torque, cogging torque flux harmonics will cause certain speed ripples which can affect performance of drive system. To solve these problems, paper proposes a novel model predictive control (MPC) based on extended state observer iterative learning control, where MPC equipped loop disturbances estimated by conventional (ESO) are fed...

The article proposes an enhanced deadbeat predictive current control for the permanent-magnet synchronous motor using iterative sliding mode observer to improve accuracy. inevitable deadtime and distortion of flux linkage will lead large periodic ripples related speed, which may degrade performance control. To overcome these problems robustness controller, learning (ILC) are combined, feedforward controller prediction accuracy improvement. Moreover, in order satisfy requirements variable...