High Performances Design of a Six-Phase Synchronous Reluctance Motor Using Multi-Objective Optimization with Altered Bee Colony Optimization and Taguchi Method

Abstract

A two-step optimal design with multi-objective functions by using two kinds of optimization methods for a six-phase synchronous reluctance motor is applied in a centrifugal compressor to achieve minimum cost, lower torque ripple, maximum efficiency and higher power factor. In the first-step procedure, the optimal design with multi-objective functions by use of the altered bee colony optimization (BCO) and the Taguchi method combined with finite element analysis (FEA) is used for optimizing the barrier shape and size in the rotor to reduce torque ripple, raise power factor, maximum efficiency and raise output torque. In the second-step procedure, the optimal design with multi-objective functions by means of the altered BCO and the Taguchi method combined with FEA is applied for optimizing the geometry of stator to reduce manufacturing cost, stator iron weight and stator winding weight. Finally, some experimental results show the effectiveness of the proposed techniques.

Self‐start synchronous reluctance motor new rotor designs and its performance characteristics

“…So we need an iterative process called optimization algorithm . The multi‐objective optimization of line start synchronous machines are discussed in previous study, where the methodology for shape optimization of the starting cage is analyzed …”

“…20 The multi-objective optimization of line start synchronous machines are discussed in previous study, 21 where the methodology for shape optimization of the starting cage is analyzed. 22 The cost function is the function whose minimization prompts finding the finest values of its arguments. 23 In this work, fitness function based on another literature 24 is used in the following setup.…”

Synchronous Reluctance Motor vs. Induction Motor at Low-Power Industrial Applications: Design and Comparison

“…Different optimization methodologies were evaluated by researchers. Moghaddam et al evaluated the optimization of barrier shapes [14][15][16], Bianchi et al focused on torque ripple reduction [17], and Lin et al applied multi-objective optimization algorithms to a six-phase synchronous reluctance machine to increase the efficiency [18]. A paper was written by Kamper et al which remarked on the importance of the finite element method (FEM) to analyze the SynRM [19].…”

Optimal Economic Dispatch for Integrated Power and Heating Systems Considering Transmission Losses

“…The economic dispatch problem (EDP) is one of the most important optimization problems of power system operation, which aims at minimizing the total operation cost while satisfying both system-level and unit-level constraints [11]. The EDP can be typically formulated as a constrained optimization problem, and existing solving algorithms for economic dispatch can be classified into two categories: analytic optimization algorithms such as iteration method [12], Newton's method [13], linear programming method [14], and heuristic optimization algorithms such as genetic algorithm [15], particle swarm optimization [16], and bee colony optimization [17]. It can be noted that EDP of power systems considering power transmission losses has been studied well [11], and there have been many methods to handle the EDP.…”