A Computationally Efficient Commutation Algorithm for Parasitic Forces and Torques Compensation in Ironless Linear Motors

Nguyen, T.; Lazăr, Mircea; Butler, Hans

doi:10.1016/j.ifacol.2016.10.565

Cited by 4 publications

(1 citation statement)

References 30 publications

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“…Moreover, a comparison between conventional drive and linear direct drive is conducted with sub-micron feedback. In [21], an alternative solution is formulated, defining the commutation as an optimization criterion for ironless linear motors, wherein it is shown that. due to the deviations from the design parameters, there are various parasitic forces and torques for which the classical commutation could not compensate.…”

Section: Introductionmentioning

confidence: 99%

A Linear Brushless Direct Current Motor Design Approach for Seismic Shake Tables

Üstün

Kıvanç

Mokukcu³

2020

Applied Sciences

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The progress in material and manufacturing technologies enables the emergence of new research areas in electromagnetic actuator applications. Permanent magnet (PM) linear motors are preferred to achieve precise position control and to meet the need for high dynamic forces in the seismic shake tables that are used in analyzing reactions of structure models. The design approaches on the linear motors used in the seismic shake tables may vary depending on the desired force, stroke and acceleration values. Especially, the maximum width, the maximum depth, the maximum linear motor length in longitudinal direction and the maximum travelling distance parameters are the primary design criteria in seismic shake table drive systems. In this paper, a design approach for a linear PM brushless direct current (BLDC) motor with high force/volume, force/weight and force/input power ratios is developed. The design was analyzed using two-dimensional (2D) and three-dimensional (3D) finite element method (FEM) approaches through the ANSYS Maxwell software. The mathematically designed linear BLDC motor was manufactured and subjected to displacement, acceleration and force tests that are used in seismic analyses. The results of the experimental tests validate the convenience of the proposed design approach and the selected parameters.

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Section: Introductionmentioning

confidence: 99%

A Linear Brushless Direct Current Motor Design Approach for Seismic Shake Tables

Üstün

Kıvanç

Mokukcu³

2020

Applied Sciences

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Nonlinear Model Predictive Control of Ironless Linear Motors

Nguyen

Lazăr

Butler

2018

2018 IEEE Conference on Control Technology and Applications (CCTA)

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A method to guarantee local convergence for sequential quadratic programming with poor Hessian approximation

Nguyen

Lazăr

Butler

2017

2017 IEEE 56th Annual Conference on Decision and Control (CDC)

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Sequential Quadratic Programming (SQP) is a powerful class of algorithms for solving nonlinear optimization problems. Local convergence of SQP algorithms is guaranteed when the Hessian approximation used in each Quadratic Programming subproblem is close to the true Hessian. However, a good Hessian approximation can be expensive to compute. Low cost Hessian approximations only guarantee local convergence under some assumptions, which are not always satisfied in practice. To address this problem, this paper proposes a simple method to guarantee local convergence for SQP with poor Hessian approximation. The effectiveness of the proposed algorithm is demonstrated in a numerical example.

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A Computationally Efficient Commutation Algorithm for Parasitic Forces and Torques Compensation in Ironless Linear Motors

Cited by 4 publications

References 30 publications

A Linear Brushless Direct Current Motor Design Approach for Seismic Shake Tables

A Linear Brushless Direct Current Motor Design Approach for Seismic Shake Tables

Nonlinear Model Predictive Control of Ironless Linear Motors

A method to guarantee local convergence for sequential quadratic programming with poor Hessian approximation

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