Model and performance study on the PMLSM

Zhu, Dabin; Han, Jian; Wang, Xinjin; Zhu, Yongmei; Guo, Xibin

doi:10.1109/iecon.2017.8216623

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…PMLSM is regarded as a kind of PMSM that is cut and spread along a line. In order to simplify the establishment of mathematical models, the d – q ‐axis model can be employed when only the fundamental component is considered [28]. The voltage equations and flux equations of PMLSM are expressed as

u_{d} = R_{s} i_{d} + {\dot{ψ}}_{d} - π v ψ_{q} / τ

u_{q} = R_{s} i_{q} + {\dot{ψ}}_{q} + π v ψ_{d} / τ

ψ_{d} = L_{d} i_{d} + ψ_{f}

ψ_{q} = L_{q} i_{q}

where

u_{d}

u_{q}

i_{d}

i_{q}

L_{d}

L_{q}

ψ_{d}

ψ_{q}

are the voltage, current, inductance and flux of the d ‐axis and q ‐axis, respectively,

R_{s}

is the resistance,

τ

is the pole pitch, v is the linear velocity of the mover, and

ψ_{f}

is the flux of permanent magnets.…”

Section: Modelling Of Pmlsmmentioning

confidence: 99%

Intelligent second‐order sliding mode control for permanent magnet linear synchronous motor servo systems with robust compensator

Zhao

Wang

Huang

2020

IET Electric Power Applications

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In this study, an intelligent second‐order sliding mode control (SMC) method combining second‐order SMC (SOSMC) and recurrent radial basis function neural network (RRBFNN) applicable to the permanent magnet linear synchronous motor (PMLSM) is proposed to achieve high‐performance servo control fields. On the basis of a dynamic model of PMLSM and the SMC theory, the chattering problem in SMC is weakened and the tracking accuracy is improved by the design of SOSMC. As for the boundary of the uncertainty factors is difficult to obtain, the optimal performance of SOSMC is hard to achieve, the RRBFNN uncertainty observer is introduced for estimating the value of the uncertainty factors. Owing to the strong learning ability, the network parameters can be trained online. Besides, a robust compensator is developed to suppress the uncertainties such as approximation error, optimal parameter vector and higher Taylor series for further improving the robustness. Moreover, the adaptive learning algorithms are obtained by using the Lyapunov theorem to guarantee the asymptotical stability of the system. The experiments demonstrate that the proposed scheme provides high performance dynamic characteristics and strong robustness to uncertainties.

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u_{d} = R_{s} i_{d} + {\dot{ψ}}_{d} - π v ψ_{q} / τ

u_{q} = R_{s} i_{q} + {\dot{ψ}}_{q} + π v ψ_{d} / τ

ψ_{d} = L_{d} i_{d} + ψ_{f}

ψ_{q} = L_{q} i_{q}

where

u_{d}

u_{q}

i_{d}

i_{q}

L_{d}

L_{q}

ψ_{d}

ψ_{q}

are the voltage, current, inductance and flux of the d ‐axis and q ‐axis, respectively,

R_{s}

is the resistance,

τ

is the pole pitch, v is the linear velocity of the mover, and

ψ_{f}

is the flux of permanent magnets.…”

Section: Modelling Of Pmlsmmentioning

confidence: 99%

Intelligent second‐order sliding mode control for permanent magnet linear synchronous motor servo systems with robust compensator

Zhao

Wang

Huang

2020

IET Electric Power Applications

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“…In recent years, IRSS testing technology has gradually become mature, and it becomes a major trend to design an integrated testing platform for various testing projects. Zhu et al [3] designed a test platform to accomplish the IRSS operating characteristics, including both steady state and dynamic state. Guo et al [4] developed a platform to test the performance of IRSS accurately, reliably as well as conveniently.…”

Section: Introductionmentioning

confidence: 99%

A Test Procedure Optimization Method for an Industrial Robot Servo System on an Integrated Testing Platform

et al. 2020

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A test procedure optimization method was proposed in this paper to improve the test efficiency of the industrial robot servo system (IRSS) to be tested on the IRSS integrated testing platform (IITP). First, an ordered sequence was used to define the IRSS test project when tested on the IITP. The ordered sequence consisted of execution subelements, which were a combination of control variable parameters of the IITP. Second, the optimization relationships among the IRSS test projects were dug out according to the IRSS test project sequences. Finally, by using the traveling salesmen problem (TSP), an optimization model was established based on the optimization relationships of the IRSS test projects, and the optimal test order of the IRSS test projects to be tested on the IITP was obtained by solving the model. A case analysis showed that the proposed method optimized the test procedure on the IITP effectively, and the test time when implementing the test on the IITP according to the optimized order was nearly 50% shorter than before optimization. The optimization effect was thus found to be significant.

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“…The permanent magnet linear synchronous motor (PMLSM) has the advantages of a high power density, high accuracy, and smooth feeding and is suitable for linear drive industrial applications, such as mineral transportation, vertical lift, and numerical control tools [1–3]. However, the power‐angle curve of the PMLSM has an obvious left deviation phenomenon and the corresponding power angle of the peak thrust (

α

) is <90° [4].…”

Section: Introductionmentioning

confidence: 99%

Research on power‐angle characteristics of permanent magnet linear synchronous motor

Gao

et al. 2019

IET Electric Power Applications

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Owing to its many benefits, including a high power density, high accuracy, and smooth feeding, the permanent magnet linear synchronous motor (PMLSM) is widely used in many industrial applications. However, the power-angle curve of the PMLSM has an obvious left deviation phenomenon, which affects the performance of the PMLSM. Hence, in this study, the basic reasons and critical conditions for the deviation are investigated. First, the cause of the deviation is analysed, and a finiteelement model is established to verify the analytical results. Then, using an analytical method, the critical condition of the power-angle deviation for a PMLSM is determined. Finally, a prototype of a PMLSM is manufactured, and the simulated and experimental results are compared to verify the conclusion. The good comparison results validate the conclusion of this study. This research on the power-angle characteristics of the PMLSM will provide a significant reference for the design research and precise control of PMLSMs.

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Model and performance study on the PMLSM

Cited by 4 publications

References 8 publications

Intelligent second‐order sliding mode control for permanent magnet linear synchronous motor servo systems with robust compensator

Intelligent second‐order sliding mode control for permanent magnet linear synchronous motor servo systems with robust compensator

A Test Procedure Optimization Method for an Industrial Robot Servo System on an Integrated Testing Platform

Research on power‐angle characteristics of permanent magnet linear synchronous motor

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