Volume optimization of high-speed surface-mounted permanent magnet synchronous motor based on sequential quadratic programming technique and analytical solution
Duy-Tinh Hoang,
Manh-Dung Nguyen,
Jong-Hyeon Woo,
Hyo-Seob Shin,
Kyung-Hun Shin,
Anh-Tuan Phung,
Jang-Young Choi
Affiliations
Duy-Tinh Hoang
Department of Electrical Engineering, Chungnam National University, Daejeon, South Korea
Manh-Dung Nguyen
Department of Electrical Engineering, Chungnam National University, Daejeon, South Korea
Jong-Hyeon Woo
Department of Electrical Engineering, Chungnam National University, Daejeon, South Korea
Hyo-Seob Shin
Department of Electrical Engineering, Chungnam National University, Daejeon, South Korea
Kyung-Hun Shin
Department of Power System Engineering, Chonnam National University, Yeosu, South Korea
Anh-Tuan Phung
Department of Electrical Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam
Jang-Young Choi
Department of Electrical Engineering, Chungnam National University, Daejeon, South Korea
This study proposes an innovative approach that integrates the subdomain method with sequential quadratic programming (SQP) to optimize the volume of a high-speed surface-mounted permanent magnet synchronous motor in an air compressor operating at 110 000 rpm. Unlike conventional optimization tools that often rely on finite element analysis (FEA) software, by leveraging the subdomain method for electromagnetic modeling, we obtain an analytical solution that rapidly represents the behaviors of the motor. Subsequently, the SQP technique is applied to optimize the volume of the model while satisfying design constraints. The proposed model is verified by FEA simulation.
