A Modular Control Scheme for PMSM Speed Control With Pulsating Torque Minimization

Xu, Jian‐Xin; Panda, Sanjib Kumar; Pan, Ya-Jun; Lee, Tong Heng; Lam, B.H.

doi:10.1109/tie.2004.825365

Cited by 185 publications

(75 citation statements)

References 14 publications

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“…These estimated parameters are then used to calculate the current reference in time. In [8,9], iterative learning control is applied in time domain and frequency domain, respectively, based on internal model principle. However, the additional torque sensors are costly in most application.…”

Section: Introductionmentioning

confidence: 99%

Torque Ripple Minimization in PMSM Based on an Indirect Adaptive Robust Controller

Tao

Zhao

2017

Mathematical Problems in Engineering

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This paper addresses the problem of torque ripple minimization in permanent magnet synchronous motor (PMSM), which plays an important role in modern aerospace industry. Accurate motion control and disturbance compensation are challenging issues of PMSM systems, where the nonlinear disturbances are quite complicated and various uncertainties exist. To overcome these control problems, based on the adaptive robust control (ARC) algorithm, an indirect adaptive robust controller (IARC) with a robust recursive least square (RRLS) adaption law is proposed as a solution. A modified PMSM model which indicates the torque ripple generation is first derived. The IARC in current loop is then described, holding the good tracking performance of ARC algorithm and minimizing the torque ripples while speed tracking. The RRLS adaption law in IARC is synthesized based on modified model and then a correction factor is added to enhance the robustness of this adaptation law. This can enable the better parametric estimation and adaptive compensation to minimize the torque ripples. The stability of the system with the proposed controller is proved. Finally, the effectiveness of the proposed method is demonstrated by the simulation results.

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Section: Introductionmentioning

confidence: 99%

Torque Ripple Minimization in PMSM Based on an Indirect Adaptive Robust Controller

Tao

Zhao

2017

Mathematical Problems in Engineering

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“…Due to the periodicity characteristic of the torque ripple, and the fixed relationship between the period and the rotational speed of the motor, the iterative learning control (ILC) is introduced to permanent magnet synchronous motor vector control system, in order to acquire a smooth torque control through the learning ability of iterative learning control for periodic signals [14][15][16]. To minimize the torque ripple, ILC with different learning laws are proposed [17][18][19], and implemented in time domain and frequency domain respectively [20,21].…”

Section: Introductionmentioning

confidence: 99%

Torque Ripple Minimization of PMSM Using Parameter Optimization Based Iterative Learning Control

Xia¹,

Deng²,

Shi³

et al. 2016

Journal of Electrical Engineering and Technology

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-In this paper, a parameter optimization based iterative learning control strategy is presented for permanent magnet synchronous motor control. This paper analyzes the mechanism of iterative learning control suppressing PMSM torque ripple and discusses the impact of controller parameters on steady-state and dynamic performance of the system. Based on the analysis, an optimization problem is constructed, and the expression of the optimal controller parameter is obtained to adjust the controller parameter online. Experimental research is carried out on a 5.2kW PMSM. The results show that the parameter optimization based iterative learning control proposed in this paper achieves lower torque ripple during steady-state operation and short regulating time of dynamic response, thus satisfying the demands for both steady state and dynamic performance of the speed regulating system.

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“…PM BLDC motors used in robots or other industrial applications are currently a niche technology in many countries, but they are increasingly expected to form an important role in a low carbon future. This is largely because a future of more efficient pumps is one of the lowest carbon footprint cutting options [1][2][3][4][5][6][7][8][9][10]. BLDC motors are being designed in or currently used in power steering, engine cooling fan, fuel/ water pump, air conditioning compressor [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

A Design Optimization of Asymmetric Air-gap Structure for Small 3-phase Permanent Magnet SPM BLDC Motor

Kam¹,

Jung²

2015

Journal of Magnetics

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As many researchers are relentlessly trying to improve the power generation schemes from the power grid, to meet the constantly increasing electricity demand. In this paper, the results of a finite element analysis are carried out to study on a design optimization of an asymmetric air-gap structure in 3-phase Permanent Magnet Brushless DC Motors. To achieve a high efficiency for a 3-phase PM BLDC motor, the asymmetric air-gap structure is proposed considering the rotation direction of a motor. Generally, a single-phase BLDC motor is applied asymmetric air-gap structure for starting. This is because the asymmetric air-gap structure causes reluctance variation so the motor can utilize reluctance torque toward a rotation direction. In this paper, the asymmetric air-gap is applied to 3-phase BLDC SPM motor so it utilizes reluctance torque with alignment torque. A proposed model is designed by 2-D FE analysis and the results are verified by experimental test.

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A Modular Control Scheme for PMSM Speed Control With Pulsating Torque Minimization

Cited by 185 publications

References 14 publications

Torque Ripple Minimization in PMSM Based on an Indirect Adaptive Robust Controller

Torque Ripple Minimization in PMSM Based on an Indirect Adaptive Robust Controller

Torque Ripple Minimization of PMSM Using Parameter Optimization Based Iterative Learning Control

A Design Optimization of Asymmetric Air-gap Structure for Small 3-phase Permanent Magnet SPM BLDC Motor

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