Optimal Design of IPMSM for FCEV Using Novel Immune Algorithm Combined with Steepest Descent Method
In this paper, the Novel Immune Algorithm (NIA) is proposed for an optimal design of electrical machines. By coupling the conventional Immune Algorithm and Steepest Descent Method, the NIA can perform fast and exact convergence to both global solutions and local solutions. Specifically, the concept...
Main Authors: | Ji-Chang Son, Young-Rok Kang, Dong-Kuk Lim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-07-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/13/13/3395 |
Similar Items
-
Improved Immune Algorithm Combined with Steepest Descent Method for Optimal Design of IPMSM for FCEV Traction Motor
by: Ji-Chang Son, et al.
Published: (2021-06-01) -
Optimal Design of an IPMSM for HEVs Using Circular Area Movement Optimization With the Pattern Search Method
by: Joo-Chang Lee, et al.
Published: (2024-01-01) -
Switching Sequence Model Predictive Direct Torque Control of IPMSMs for EVs in Switch Open-Circuit Fault-Tolerant Mode
by: Ting Yang, et al.
Published: (2020-10-01) -
Fault Mechanism Analysis of Irreversible Demagnetization Due to the Dynamic Eccentricity of IPMSM for EV Traction
by: Jun-Kyu Kang, et al.
Published: (2022-01-01) -
Static-Errorless Rotor Position Estimation Method Based on Linear Extended State Observer for IPMSM Sensorless Drives
by: Feng Jiang, et al.
Published: (2022-03-01)