An Improved Random Taguchi's Method Based on Swarm Intelligence and Dynamic Reduced Rate for Electromagnetic Optimization

Jia, Xingning; Lu, Guizhen

doi:10.1109/lawp.2019.2932088

Cited by 6 publications

(4 citation statements)

References 12 publications

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“…In the field of stochastic optimization algorithms, convergence factor and dynamic reduction rate are methods commonly employed to improve convergence speed. For instance, Jia and Lu [21] proposed a new type of dynamic reduction rate, and it was applied to the antenna design. Good results could be obtained.…”

Section: E Algorithms With Dynamic Reductionmentioning

confidence: 99%

The Comparison of Performance between Contrast Source Inversion and Its Related Algorithms and Several Improved Methods

Wang

2021

International Journal of Antennas and Propagation

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The contrast source inversion (CSI) is an effective method for solving microwave imaging problems which is widely utilized. The core of the CSI is to change the conventional inverse scattering problem into an optimization problem. The two items in the objective function describe the state error and data error, respectively. As it is all known, there is almost no complete performance comparison based on Fresnel data for the CSI and its related improved algorithms. In addition, the performance of the algorithm under different weights was not analyzed before and the convergence speed of original CSI is slow. Firstly, this paper compares the performance of traditional CSI and its improved algorithms from three aspects of qualitative imaging effect, convergence speed, and objective function value based on Fresnel data. Secondly, the influence of the state error and the data error under different weights on the convergence rate and the objective function value are studied. For the limitation of a slower convergence rate, the CSI with weights (W-CSI), the CSI with dynamic reduction factor (CSI-DRF), and its related algorithms, which can get better convergence rate compared with their relative original algorithms, are proposed. Eventually, the future research work is prospected.

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Section: E Algorithms With Dynamic Reductionmentioning

confidence: 99%

The Comparison of Performance between Contrast Source Inversion and Its Related Algorithms and Several Improved Methods

Wang

2021

International Journal of Antennas and Propagation

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“…The Taguchi's method has been demonstrated excellent optimization capabilities in simple implementation, well handling discontinuous and nondifferentiable problems, effective reduction of test trials, fast convergence speed, global optimum results, and independence from initial values of optimization parameters [4] and it has been adopted in many electromagnetic applications since then. In the field of antenna design, the Taguchi's method has been applied to successfully achieve the designs of UWB antenna [4], slot antenna [5], dual band T-slotted patch antenna [6] and has been optimized the array factor of an 80-element aperiodic planar array to obtain low side lobe levels [7]. Furthermore, in other fields, the Taguchi's method can also be employed to optimize radio network parameters for the vertical sectorization deployment [8] and for long term evolution system [9], as well as to find the optimum values of the model parameters for a Jiles-Atherton hysteresis model [10].…”

Section: Introductionmentioning

confidence: 99%

Design and Optimization of Compact Microstrip Wideband Bandpass Filter Using Taguchi’s Method

Weng

2022

IEEE Access

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This study presents a global optimization technique, Taguchi's method, in conjunction with a full-wave electromagnetic simulator, to optimize a novel microstrip bandpass filter operating at 2.45 GHz to achieve wideband and high selectivity characteristics. The proposed wideband bandpass filter consists of multiple parallel edge-coupled lines, which offer inherent transmission zeros to improve the selectivity. The proposed bandpass filter is fabricated on a Rogers RO 4003C substrate with a compact size of 0.25 λg by 0.28 λg. Sufficient information, such as the filter design procedure and the optimization settings for Taguchi's method, is described in this paper. After Taguchi's optimization, the measured results of the proposed filter show superior outcomes. A 3 dB fractional wide bandwidth of 55.2%, a minimum insertion loss of 0.43 dB, and a return loss of more than 15 dB within the passband are achieved. Furthermore, high selectivity and steep skirt within the stopbands are also obtained. In addition, the simulated and measured scattering parameters agree well with each other, which demonstrate the validity of the proposed design.

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“…In the papers, [7][8][9][10][11] the idea of optimizing the motor structure parameters was proposed based on Taguchi's method, in which the motor structure parameters were taken as the optimization variables and optimization targets, and then the optimization scheme was determined and simulated using finite element software to confirm the feasibility of the structure optimization scheme. In studies [12,13], the rotor structure of a reluctance motor was changed.…”

Section: Introductionmentioning

confidence: 99%

Design of a Deflection Switched Reluctance Motor Control System Based on a Flexible Neural Network

Wei

Liu

et al. 2022

Energies

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Deflection switched reluctance motors (DSRM) are prone to chattering at low speeds, which always affects the output efficiency of the DSRM and the mechanical loss of the motor. Combining the characteristics of a traditional reluctance motor with the strong nonlinear and high coupling of the DSRM, a control system for a DSRM based on a flexible neural network (FNN) is proposed in this paper. Based on the better robustness and fault tolerance of fuzzy PI control, the given speed signal is adjusted and converted into a torque control signal. As a result, the FNN control module possesses the strong self-learning ability and adaptive adjustment ability necessary to obtain the control voltage signal. Through simulations and experiments, it was verified that the control system can run stably on DSRM and shows good dynamic performance and anti-interference ability.

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An Improved Random Taguchi's Method Based on Swarm Intelligence and Dynamic Reduced Rate for Electromagnetic Optimization

Cited by 6 publications

References 12 publications

The Comparison of Performance between Contrast Source Inversion and Its Related Algorithms and Several Improved Methods

The Comparison of Performance between Contrast Source Inversion and Its Related Algorithms and Several Improved Methods

Design and Optimization of Compact Microstrip Wideband Bandpass Filter Using Taguchi’s Method

Design of a Deflection Switched Reluctance Motor Control System Based on a Flexible Neural Network

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