Multi-Objective Optimization of Double Primary Tubular Permanent Magnet Synchronous Linear Motor in Wide Temperature Range Environment Based on Pareto Front Method

Hao, Zhenyang; Zhou, Wenshuai; Ji, Tianpeng; Huang, Xuzhen; Zhang, Chengming

doi:10.1109/access.2020.3026040

Cited by 11 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The value of the stator resistance is affected by the external environment temperature, and the actual resistance of motor at a given temperature can be expressed with the resistance coefficient α, as [34,35]:…”

Section: Parameter Mismatchmentioning

confidence: 99%

Design of High-Dynamic PMSM Servo Drive Using Nonlinear Predictive Controller with Harmonic Disturbance Observer

Zhou

Yao

et al. 2022

Energies

View full text Add to dashboard Cite

The high-dynamic permanent magnet (PM) motor servo system with high-bandwidth is the core equipment for industrial production, and the control bandwidth is also an important indexes to evaluate the performance of the servo system. The non-cascaded direct predictive speed control is an appropriate scheme to optimize the dynamic performance of the PM motor servo system. However, the high bandwidth of the non-cascaded control structure results in poor anti-interference ability, and it cannot effectively deal with the coupling relationship between current and speed, leading to poor control performance in the current limit region. Regarding the above problems, a nonlinear predictive speed control strategy combined with harmonic disturbance observer is proposed. In the proposed strategy, the disturbances of the servo system are separated from the mathematical model according to the nonlinear modeling theory, and the traditional disturbance observer is modified to estimate the harmonics. A nonlinear control law with strong disturbance suppression ability was designed. Furthermore, a complete current and speed prediction mechanism was introduced into the algorithm, in which the proportional differential (PD) controller is employed as the connection medium between the reference current and speed to solve the coupling problem of the non-cascaded control structure.

show abstract

Section: Parameter Mismatchmentioning

confidence: 99%

Design of High-Dynamic PMSM Servo Drive Using Nonlinear Predictive Controller with Harmonic Disturbance Observer

Zhou

Yao

et al. 2022

Energies

View full text Add to dashboard Cite

show abstract

“…Compared with double-sided flat linear machines, doublesided tubular machines (DSTM) eliminate the transverse end effect, and have higher energy density [1], [2] and higher application potential in the applications of high-end manufacturing equipment and wave energy conversion systems [3], [4]. Whereas, the cogging force caused by two slotted stators and the harmonic current in the armatures also lead to bigger noise and vibration [5].…”

Section: Introductionmentioning

confidence: 99%

Constrained Multi-Objective Optimization for Double-Sided Tubular Machine With Hybrid Segmented PM

2023

View full text Add to dashboard Cite

Double-sided tubular machines (DSTM) have greatly improved space utilization and power density, and are widely used in tidal power generation and high-power electric drives, while the thrust force ripple is also significant. To get the minimum cogging force with the maximum thrust force, hybrid segmented PM array topology is introduced to the DSTM and used as research object for multi-objective optimization. Due to the constraints among the parameters to be optimized, this paper proposes a new constrained multi-parameter multi-objective optimization method. In this method, a new optimal Latin hypercube(OLH) is put forward to solve the constrained parameter sampling problem. RReliefF is used to distinguish the importance of multi-parameter and divide them into three layers: strong, medium and weak, and surrogate models are established hierarchically to simplify the optimization complexity. In addition, an improved Gaussian process regression(GPR) algorithm is proposed to improve the optimization accuracy of strong significance parameters. The optimization results show that the average thrust force is increased by 4.7%, the cogging force is reduced by 28%, and total harmonic distortion rate of the voltage is reduced by 30.5% without loss of efficiency, which significantly improves the performance of the machine, and verifies the effectiveness of the proposed method, which is suitable for constrained multi-parameter multi-objective optimization.INDEX TERMS Double-sided tubular machine, segmented permanent magnet, constrained, multi-objective optimization.

show abstract

A novel electromagnetic recuperator used in the artillery: Structural and control algorithm design

Wang

Tang

et al. 2023

Journal of Magnetism and Magnetic Materials

View full text Add to dashboard Cite

Multi-Objective Optimization of Double Primary Tubular Permanent Magnet Synchronous Linear Motor in Wide Temperature Range Environment Based on Pareto Front Method

Cited by 11 publications

References 20 publications

Design of High-Dynamic PMSM Servo Drive Using Nonlinear Predictive Controller with Harmonic Disturbance Observer

Design of High-Dynamic PMSM Servo Drive Using Nonlinear Predictive Controller with Harmonic Disturbance Observer

Constrained Multi-Objective Optimization for Double-Sided Tubular Machine With Hybrid Segmented PM

A novel electromagnetic recuperator used in the artillery: Structural and control algorithm design

Contact Info

Product

Resources

About