Aug 2026· International Test Conference in Asia· pp. 1-6· 0 citations· 12 references
Abstract
To improve the comprehensive performance of voice coil motor (VCM) planar coils under limited spatial constraints, this paper proposes a neural-network-guided NSGA-II/PSO multi-objective optimization method. A five-factor parameterized model is established by selecting coil outer diameter, trace width, trace spacing, copper thickness, and resistance as design variables, while average thrust, power consumption, and linearity error are defined as optimization objectives. A neural network surrogate model is introduced to predict electromagnetic performance and reduce the cost of repeated high-fidelity evaluation. Based on this model, NSGA-II is used for global Pareto search, and PSO is combined to enhance local search ability. The obtained Pareto front provides feasible design choices for balancing force output, energy consumption, and motion accuracy. Simulation and physical test results show that the optimized VCM planar coil achieves higher thrust, lower power consumption, and reduced linearity error, verifying the effectiveness and feasibility of the proposed method.
Aiming at insufficient rated torque and excessive magnet thermal loss of vehicle high-power-density BLDC motors, a multi-objective optimization framework integrating a surrogate model and NSGA-II is proposed. An eight-pole 48-slot finite-element model is built to analyze initial electromagnetic defects. Taguchi experim...
Parameter selection in an LCC-S compensated wireless power transfer system is difficult because the circuit variables are coupled and an increase in output power does not necessarily lead to higher transmission efficiency. In this study, the primary compensation inductance, equivalent load resistance, and mutual induct...
Gang Zhou, Shi-Shi Liao, Qi Jiang· PLoS ONE· 0 citations
Magnetically Coupled Resonant Wireless Power Transfer (MCR‐WPT) shows great potential, but the coordinated optimization of efficiency and output power remains a critical issue in practical applications. To improve the overall transmission performance of MCR‐WPT systems, this paper proposes a parameter configuration met...
Zhen Guo, Ran-Ran Liu, Yan Cao et al.· IEEJ TRANSACTIONS ON ELECTRI...· 0 citations
To address the low efficiency of trial-and-error methods for single-objective optimization, this study proposes a method for optimizing the core parameters of a magnetic field energy harvesting device for three-core power cables in distribution networks, based on the PSOGA hybrid algorithm. An optimization model was co...
Dao-Yuan Chen, Yong-Jie Nie, Xiao-Wei Xu et al.· Journal of Physics, Conferen...· 0 citations
In this study, the magnetic design parameters of brushless DC (BLDC) motors for electric vehicle applications remanent flux density (Br), magnet coverage ratio (α), and air-gap length (g) are optimized using an analytical framework with the Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO), withi...
Hakkı Mollahasanoğlu· Karadeniz Fen Bilimleri Derg...· 0 citations
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