Feb 6, 2024 · Our end-to-end controller directly minimizes the transient response time on the basis of optimal control theory.
Missing: ROM | Show results with:ROM
In this study, the shape optimization of a permanent magnet synchronous motor (PMSM) for electric vehicles (EVs) was conducted using a multi-layer perceptron ( ...
Missing: ROM | Show results with:ROM
Jul 29, 2024 · The optimization process has four objectives, ie minimum torque ripple, low cogging torque, high efficiency, and high output torque. The results ...
For linear stochastic systems, linear filtering is required for the state estimation of the system by using Kalman Filtering (KF) and for non-linear stochastic ...
Jan 16, 2024 · This study focuses on designing and optimizing Permanent Magnet Synchronous Motors (PMSMs) using hybrid rare earth and ferrite materials.
This paper proposes a strategy based on a combination of a high-precision combined surrogate model and the optimization method to optimize the stator and rotor ...
Missing: stochastic ROM
Jan 5, 2021 · ABSTRACT In this paper, an improved online particle swarm optimization (PSO) is proposed to optimize the traditional search controller for ...
Missing: stochastic ROM
Feb 6, 2024 · Abstract. This paper proposes a model-based optimization method for the production of automotive seals in an extrusion process.
Missing: PMSM | Show results with:PMSM
In this article we will discover how AI can be leveraged in the field of power electronics, using the sensorless control of permanent magnet synchronous motors ...
Missing: stochastic | Show results with:stochastic
In this paper, PSO algorithm is used for optimization of studied PMSM. PSO is a population based stochastic optimization technique, inspired by social behavior ...