On-Load Field Prediction of Surface-Mounted PM Machines Considering Nonlinearity Based on Hybrid Field Model

Wu, Lijian; Li, Zhaokai; Wang, Dong; Yin, Hongbo; Huang, Xiaoyan; Zhu, Z. Q.

doi:10.1109/tmag.2018.2890244

Cited by 31 publications

(17 citation statements)

References 26 publications

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“…Under a particular performance index (φ = 0.75, the same for the primary and auxiliary circuits), the cascade PID controller parameters under the two load models of 37% and 75% are set. When the load changes, we use the aforementioned switching Time performance indicators to judge the current state of the system, and then switch to the controller that best matches the current object [7]. Under the same simulation conditions, the output curve of the object during the period of 2500-7000 seconds before and after the switch was intercepted and compared with the control effect of the PID cascade system with fixed parameters, as shown in fig.…”

Section: Variable Condition Simulation Testmentioning

confidence: 99%

Superheated steam temperature system of thermal power control engineering based on neural network local multi-model prediction

Zhan

Du²,

Dong

et al. 2021

THERM SCI

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The superheated steam temperature object of thermal power plant has the characteristics of time lag, inertia and time-varying parameters. The control quality of the conventional proportional integral derivate controller with fixed parameters will decrease after the object characteristics change. The generalized predictive control strategy of superheated steam temperature based on neural network local multi-model switching can achieve the goal of designing sub-controllers for fixed models under several typical operating conditions. When the system operating conditions change, the effective switching strategy is timely and accurate. Switch to the most suitable controller. The paper proposes a new smooth switching method, which can effectively suppress the large disturbance phenomenon of the object when switching. The simulation results verify the effectiveness of the control strategy.

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Section: Variable Condition Simulation Testmentioning

confidence: 99%

Superheated steam temperature system of thermal power control engineering based on neural network local multi-model prediction

Zhan

Du²,

Dong

et al. 2021

THERM SCI

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“…According to above explanations, the analytical techniques have some drawbacks for analysis of electric machines. For this reason, in recent years, hybrid analytical models (HAMs) have been presented which can simultaneously consider the capabilities of different techniques for accurate modeling of electric machines [14][15][16][17][18][19]. HAM based on CM and MEC models has been used to model and analysis of permanent-magnet synchronous motors in [14][15][16][17], so that the airgap region and iron parts have been modeled by using CM and MEC, respectively.…”

Section: Introductionmentioning

confidence: 99%

A New Hybrid Analytical Model Based on Winding Function Theory for Analysis of Unbalanced Two-Phase Induction Motors

2022

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The purpose of this paper is to present a new hybrid analytical model (HAM) based on winding function theory (WFT) for electromagnetic analysis of performance of one typical unbalanced two-phase induction motor (UTPIM). Different indexes of electromagnetic modeling such as winding distribution, slotting effect, and magnetic saturation can be accurately considered by using the proposed HAM. For obtaining this new hybrid technique, WFT is reformulated for considering the magnetic saturation in addition to the influence of slotting and winding distribution. The conformal mappings (CMs) are used to accurately calculate the slotted air-gap length. The magnetic equivalent circuit (MEC) model is used to consider the magnetomotive force (MMF) drop in stator and rotor cores due to the excitation of one phase-winding.The obtained results of CMs and MEC are then utilized in reformulated WFT to calculate the inductances of respective phase-winding. Transient analysis is then done to calculate the indexes of performance such as air-gap magnetic field, phase currents, electromagnetic torque, and rotor speed by using the lookup table of inductances while considering different capacitors in auxiliary phase. In each step, the accuracy of analytical results is confirmed by comparing with corresponding results obtained from finite element method (FEM).

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“…Whalley R 4 studied the axial and torsional deformation of ball screw by using the method of continuous beam model, and established the mathematical model of servo feed system. The fairly mature approach for modeling the screw drive feed system is to use the lumped mass method to model the elastic screw drive system, [5][6][7][8][9][10][11] Feng GH 5 constructed a preload-adjustable ball screw feed drive system based on a modified double nut structure, meanwhile, proposed a lumped dynamic model to study the preload variation of the system. Liu D 6 modeled the elastic ball screw drives system through lumped mass method, and calculated the frequency response characteristic by Lagrange energy method and state space analysis.…”

Section: Introductionmentioning

confidence: 99%

“…Mo S 9 established the dynamic model for the herringbone planetary gear transmission system by the lumped parameter method based on the system dynamics and the Lagrange equation, and studied the impact of the support stiffness and the torsional stiffness on dynamic characteristics. Wu LJ 10 proposed a hybrid field model integrating complex permeance method and lumped parameter magnetic circuit model in this paper for predicting the on-load magnetic field considering nonlinearity effect of stator lamination. Xi T 11 developed a multimass model of the ball screw system and validated by experimental data, which is used to simulate the dynamic behavior of the machine axis dependent on wear.…”

Section: Introductionmentioning

confidence: 99%

Dynamic characteristics analysis and experimental of differential dual drive servo feed system

Zhang

Wang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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This paper presents the design for a new differential-dual-drive low-speed micro-feed mechanism. The ‘nut rotary ball screw pair’ is the main driving component of the mechanism. The screw and nut are each driven by a servo motor and these motors rotate in the same direction at a similar speed. The nonlinear factors such as friction and backlash can lead to unstable behaviours such as stick-slip and oscillation of the feed system. We use the Euler–Bernoulli beam elements, which have axial and torsional degrees of freedom, to describe the axial and torsional vibration of the ball screw, and use the spring-lumped parameter method to analyse other components of the feed system. An electromechanical coupling dynamic model with nonlinear factors of friction and clearance is established. Through simulation analysis and experiment, the difference in response of single-drive and differential-dual-drive systems under the influence of friction and clearance is studied. The results show that the nonlinear factors of friction and clearance have an influence on the feed speed of single-drive and differential-dual-drive system, but the low-speed micro-feed performance of the differential-dual-drive system is evidently better than that of the single-drive system. In the experiment, under the condition of screw single drive and differential dual drive, the critical crawling velocities of the table are measured. The experimental results are consistent with the simulation results, which verifies that the established models are reasonable. This lays a foundation for the design and research of the controller.

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On-Load Field Prediction of Surface-Mounted PM Machines Considering Nonlinearity Based on Hybrid Field Model

Abstract: This is a repository copy of On-load field prediction of surface-mounted PM machines considering nonlinearity based on hybrid field model.

Cited by 31 publications

References 26 publications

Superheated steam temperature system of thermal power control engineering based on neural network local multi-model prediction

Superheated steam temperature system of thermal power control engineering based on neural network local multi-model prediction

A New Hybrid Analytical Model Based on Winding Function Theory for Analysis of Unbalanced Two-Phase Induction Motors

Dynamic characteristics analysis and experimental of differential dual drive servo feed system

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