Novel multi-objective optimization method for three-phase cylindrical switched reluctance linear generator

Abstract

The invention discloses a multi-objective optimization method for a three-phase cylindrical switched reluctance linear generator, and belongs to the field of motor design methods. Compared with a traditional single-objective optimization method, the multi-objective optimization algorithm has the advantages that multiple optimization objectives of the motor can be considered, and the comprehensiveperformance of the motor is improved. The method mainly comprises the steps of obtaining an optimization decision matrix according to values of optimization targets corresponding to determined to-be-optimized parameters under different values; calculating to obtain an objective weight coefficient corresponding to the optimization target through an improved entropy method; calculating an optimal weight coefficient considering the subjective emphasis of the designer; calculating comprehensive performance index values of the motor under different parameter combinations by utilizing a Taguchi algorithm; and selecting the parameter combination with the best comprehensive performance as the final structure parameter combination of the motor. The multi-objective optimization algorithm provided bythe invention obtains the optimal result with the least optimization times, has the advantages of short time consumption, simple calculation process and the like, and is suitable for multi-objectiveoptimization of all switched reluctance linear motors.

Description

technical field [0001] The invention proposes a novel multi-objective optimization method for a three-phase cylindrical switched reluctance linear generator, which belongs to the field of motor design. Mainly carry out the determination of the optimal weight coefficient of the optimization target and the optimization of the performance and structural parameters of the three-phase cylindrical switched reluctance linear generator. Background technique [0002] Switched reluctance motor is a new type of special motor. In recent years, switched reluctance motor has the advantages of simple structure, durable, flexible control strategy, wide speed range, good fault tolerance, high operating efficiency and low manufacturing cost. It has broad application prospects in the fields of new energy vehicles, military and aerospace. In addition, because it is suitable for various harsh natural environments, it has received extensive attention in the field of new energy power generation. ...

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Problems solved by technology

For example: the genetic algorithm has limited search ability for new space, and it is easy to converge to a local optimal solution. When a large number of individuals are involved, it takes a lot of time to calculate and the reliability of the result is poor; the main disadvantage of the ant colony algorithm is that it cannot solve continuous optimization. problems; the artificial fish swarm algorithm has problems such as slow convergence speed in the later stage of the algorithm, low optimization accuracy, and inaccurate calculation results.

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