Design of an Ultra-Wideband Power Divider via the Coarse-Grained Parallel Micro-Genetic Algorithm

Chang, Lei; Liao, Cheng; Chen, Ling-Lu; Lin, Wenjun; Zheng, Xuan; Wu, Yanliang

doi:10.2528/pier11120517

Cited by 25 publications

(18 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As we know, the classical Wilkinson power divider [1] and its improved structures have been presented in the previous papers [2][3][4][5][6][7]. On the other hand, the other forms of power dividers with different design methodologies have been proposed [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

An Improved Uwb Non-Coplanar Power Divider

Peng¹,

Yang²,

Liu³

et al. 2013

PIER

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

An Improved Uwb Non-Coplanar Power Divider

Peng¹,

Yang²,

Liu³

et al. 2013

PIER

View full text Add to dashboard Cite

show abstract

“…According to Equations (1) to (16), parameters often affect each other, varying simultaneously (for example D i , D o , and λ); therefore, the AFPM machine optimization is a non-linear problem. GA is a strong tool that can solve various complex and non-linear optimization problems [25,26]. GA may thus provide many answers for problem optimization due to its parallel search capability.…”

Section: Genetic Algorithm and Optimizationmentioning

confidence: 99%

Design Optimization and Analysis of Afpm Synchronous Machine Incorporating Power Density, Thermal Analysis, and Back-Emf THD

Kahourzade¹,

Gandomkar²,

Mahmoudi³

et al. 2013

PIER

View full text Add to dashboard Cite

Abstract-This paper presents the design and analysis of an inside-out axial-flux permanent-magnet (AFPM) synchronous machine optimized by genetic algorithm (GA) based sizing equation, finite element analysis (FEA) and finite volume analysis (FVA). The preliminary design is a 2-pole-pair slotted TORUS AFPM machine. The designed motor comprises sinusoidal back-EMF waveforms, maximum power density and the best heat removal. The GA is used to optimize the dimensions of the machine in order to achieve the highest power density. Electromagnetic field analysis of the candidate machines from GA with various dimensions is then put through FEA in order to obtain various motor characteristics. Based on the results from GA and FEA, new candidates are introduced and then put through FVA for thermal behavior evaluation of the designed motors. Techniques like modifying the winding configuration and skewing the permanent magnets are also investigated to attain the most sinusoidal back-EMF waveform and reduced cogging torque. The performance of the designed 1 kW, 3-phase, 50 Hz, 4-pole AFPM synchronous machine is tested in simulation using FEA software. It is found that the simulation results fully agree with the designed technical specifications. It is also found from FVA results that the motor temperature reaches at highest temperature to 87 • C at the rated speed and full load under steady state condition.

show abstract

“…In [23], the master-slave parallel MGA was used to optimize a frequency selective surface (FSS). The coarsegrained parallel MGA (CGPMGA) was applied to solve ultra-wideband power divider problem [24] and tune power system stabilizer in multimachine power system [25]. At present, the fine-grained Parallel MGA (FGPMGA) has not been applied to microwave engineering design problems.…”

Section: Introductionmentioning

confidence: 99%

“…The total number of iterations is set to 2000. Figure 2 shows the average convergence rates for FGPMGA, CGPMGA [24] (10 sub-populations) and MGA in 5 independent runs. It is obvious that FGPMGA converges faster than CGPMGA and MGA.…”

mentioning

confidence: 99%

The Fine-Grained Parallel Micro-Genetic Algorithm and Its Application to Broadband Conical Corrugated-Horn Antenna

Chang¹,

Zhou²,

Chen³

et al. 2013

PIER

Self Cite

View full text Add to dashboard Cite

Abstract-The fine-grained parallel micro-genetic algorithm (FGP-MGA) is developed to solve antenna design problems. The synthesis of uniformly exited unequally spaced array is presented. Comparison with the micro-genetic algorithm (MGA) has been carried out. It is seen that the FGPMGA significantly outperforms MGA, in terms of both the convergence rate and exploration ability. The FGPMGA can also reduce the optimization time. Then the FGPMGA and the body of revolution finite-difference time-domain (BOR-FDTD) are combined to achieve an automated design process for conical corrugated-horn antenna. Numerical simulation results show that the horn antenna has good impedance matching (the VSWR is less than 1.5), stable beamwidth and gain, as well as good rotation symmetry patterns over the whole band 8∼13 GHz.

show abstract

Design of an Ultra-Wideband Power Divider via the Coarse-Grained Parallel Micro-Genetic Algorithm

Cited by 25 publications

References 32 publications

An Improved Uwb Non-Coplanar Power Divider

An Improved Uwb Non-Coplanar Power Divider

Design Optimization and Analysis of Afpm Synchronous Machine Incorporating Power Density, Thermal Analysis, and Back-Emf THD

The Fine-Grained Parallel Micro-Genetic Algorithm and Its Application to Broadband Conical Corrugated-Horn Antenna

Contact Info

Product

Resources

About