Multi-Optimal Design Of Novel Bearingless Switched Reluc-Tance Motor Based On Atifical Bee Colony Particle Swarm Optimizer

In recent decades, bearingless switched reluctance motors (BSRMs) have been proposed. However, few researchers focused on the optimal design of the BSRMs. In this paper, the multi-objective optimal design of BSRMs is investigated. At first, an analytical design model is derived from the mathematical model of the BSRMs. An initial design is calculated by the analytical design model. Then, a novel multi-objective atifical bee colony particle swarm optimizer (ABCPSO) is presented. The proposed ABC-PSO is applied for the optimal design of BSRMs to increase the radial force and efficiency. The electromagnetic performance is compared with the initial design and verified by the FEM. The optimization variables include stator yoke, rotor yoke, stator pole arc and rotor diameter, which to enhance efficiency and increase radial force. It is regarded motor's fixed shape as constrained condition.