Robust torque and torque-per-inertia optimization of a switched reluctance motor using the Taguchi methods

Omekanda, A.M.

doi:10.1109/tia.2006.870031

Cited by 99 publications

(22 citation statements)

References 15 publications

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“…The Taguchi method is a multi-objective optimization method using the analysis of means (ANOM) [10,[15][16][17][18]. Figure 3 shows the comprehensive framework of the Taguchi method: the first step is building the FEM model of PMSLM and analyzing the performances data, followed by applying the Taguchi optimization method, which includes design of experiments (DOE) and ANOM.…”

Section: Taguchi Optimization Methodsmentioning

confidence: 99%

“…Another modified method based on the FEM model are robust design optimization methods [11,12], which are generally employed for high-quality designs, including product robustness against noise factors in manufacturing and operational environments. The most representative are six-sigma [13,14] and Taguchi methods [15][16][17][18] which use mathematical statistics and design of experiments, methods that can promote the efficiency of FEM models by using an orthogonal array, they are widely used in industry applications' optimization. However, the shortcoming of these methods is that only analyzing discrete sample space based on different combinations of motor structure parameters may result in an approximate local optimum for the motor optimization design.…”

Section: Introductionmentioning

confidence: 99%

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A New Design Optimization Method for Permanent Magnet Synchronous Linear Motors

et al. 2016

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This study focused on the design optimization of permanent magnet synchronous linear motors (PMSLM) that are applied in microsecond laser cutting machines. A new design optimization method was introduced to enhance PMSLM performances in terms of motor thrust, thrust ripple, and inductive electromotive force (EMF). Based on accurate 3D finite element analysis (3D-FEA), a multiple support vector machine (multi-SVM) was proposed to build a non-parametric quick calculation model by mapping the relation between multivariate structure parameters and multivariate operation performances. The gravity center neighborhood algorithm (GCNA) was also applied to search the global optimal combination of the structure parameters by locating the gravity center of the multi-SVM model. The superiority and validity of this method are verified by experiments.Keywords: permanent magnet linear synchronous motors (PMSLM); thrust; thrust ripple; 3D finite element analysis (3D-FEA); multiple support vector machine (multi-SVM); non-parametric quick calculation model; gravity center neighborhood algorithm (GCNA)

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Section: Taguchi Optimization Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A New Design Optimization Method for Permanent Magnet Synchronous Linear Motors

et al. 2016

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“…Because the R.S.M. is generally used to optimize two or three design variables [11], design of experiments (D.O.E.s) for seven design variables can be developed using tables of mixed orthogonal arrays to assess large numbers of design variables and their levels effectively [12], with a response value for each parameter combination calculated by means of finite element analysis (F.E.A.). Using the R.S.M., the D.O.E.s according to tables of mixed orthogonal arrays are analyzed.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of Permanent Magnetic Actuator for Permanent Magnet Reduction and Dynamic Characteristic Improvement using Response Surface Methodology

Ahn¹,

Chung²,

Oh³

et al. 2015

Journal of Electrical Engineering and Technology

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-Permanent magnetic actuators (P.M.A.s) are widely used to drive medium-voltage-class vacuum circuit breakers (V.C.B.s). In this paper, a method for design optimization of a P.M.A. for V.C.B.s is discussed. An optimal design process employing the response surface method (R.S.M.) is proposed. In order to calculate electromagnetic and mechanical dynamic characteristics, an initial P.M.A. model is subjected to numerical analysis using finite element analysis (F.E.A.), which is validated by comparing the calculated dynamic characteristics of the initial P.M.A. model with no-load test results. Using tables of mixed orthogonal arrays and the R.S.M., the initial P.M.A. model is optimized to minimize the weight of the permanent magnet (P.M.) and to improve the dynamic characteristics. Finally, the dynamic characteristics of the optimally designed P.M.A. are compared to those of the initially designed P.M.A.

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“…The turn on and turn off angles can be selected optimally by employing various algorithms. Optimization techniques like simulated annealing, Genetic Algorithm, Taguchi Algorithm are employed in SR motor applications [24,25]. The best design parameters for switching circuits are determined using Genetic Algorithm.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Operating Angle Optimization of Switched Reluctance Motor with Robust Speed Controller using PSO and GA

Rajini¹,

Balaji²,

Prabhu³

2015

Journal of Electrical Engineering and Technology

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-This paper's focus is in reducing the torque ripple and increasing the average torque by optimizing switching angles of 8/6 switched reluctance motor while implementing a robust speed controller in the outer loop. The mathematical model of the machine is developed and it is simulated using MATLAB/Simulink. An objective function and constraints are formulated and Optimum turn-on and turn-off angles are determined using Particle swarm optimization and Genetic Algorithm techniques. The novelty of this paper lies in implementing sliding mode speed controller with optimized angles. The results from both the optimization techniques are then compared with initial angles with one of them clearly being the better option. Speed response is compared with PID controller.

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Robust torque and torque-per-inertia optimization of a switched reluctance motor using the Taguchi methods

Cited by 99 publications

References 15 publications

A New Design Optimization Method for Permanent Magnet Synchronous Linear Motors

A New Design Optimization Method for Permanent Magnet Synchronous Linear Motors

Optimal Design of Permanent Magnetic Actuator for Permanent Magnet Reduction and Dynamic Characteristic Improvement using Response Surface Methodology

A Comparative Study of Operating Angle Optimization of Switched Reluctance Motor with Robust Speed Controller using PSO and GA

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