Multi-Objective Optimization of Moving-magnet Linear Oscillatory Motor Using Response Surface Methodology with Quantum-Behaved PSO Operator

2017 3rd International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Lei, Meizhen^1 ; Wang, Liqiang^2

Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou

310018, China^1

Faculty of Mechanical and Automotive Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou

310018, China^2

关键词: 3D-finite element analysis;    Electromagnetic thrust;    Linear oscillatory motor;    Permanent magnetic material;    Permanent magnets (pm);    Prototype experiment;    Response surface methodology;    Response surface modeling;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/108/2/022075/pdf
DOI  :  10.1088/1755-1315/108/2/022075

来源: IOP

【 摘 要 】

To reduce the difficulty of manufacturing and increase the magnetic thrust density, a moving-magnet linear oscillatory motor (MMLOM) without inner-stators was Proposed. To get the optimal design of maximum electromagnetic thrust with minimal permanent magnetic material, firstly, the 3D finite element analysis (FEA) model of the MMLOM was built and verified by comparison with prototype experiment result. Then the influence of design parameters of permanent magnet (PM) on the electromagnetic thrust was systematically analyzed by the 3D FEA to get the design parameters. Secondly, response surface methodology (RSM) was employed to build the response surface model of the new MMLOM, which can obtain an analytical model of the PM volume and thrust. Then a multi-objective optimization methods for design parameters of PM, using response surface methodology (RSM) with a quantum-behaved PSO (QPSO) operator, was proposed. Then the way to choose the best design parameters of PM among the multi-objective optimization solution sets was proposed. Then the 3D FEA of the optimal design candidates was compared. The comparison results showed that the proposed method can obtain the best combination of the geometric parameters of reducing the PM volume and increasing the thrust.