Application Of Improved Adaptive Genetic Algorithm For Optimum Design Of Explosion-proof Motor With High Energy Density

The motor used in the machine for excavating coal is usually installed in limited space and operated in bad circumstance. The design of this kind of explosion-proof motor with high energy density should be considered by several respects, such as the select of motor's material, optimum cooler design and electromagnetic design etc. The traditional motor design methods hardly meet the requirement of the design, and the excellent design scheme should be obtained by optimum design.First of all, the origin, the developing course, leading research direction, basic principle and the application feature of the genetic algorithm are introduced in this paper. Mathematic fundamental theories are introduced at the same time. Considering the special structure of the explosion-proof high energy density motor and special design needs, several respects are discussed such as the coding way of chromosome, design of fitness value appraise function to improve optimum efficiency and find the best design scheme. The concept"multi-turns evolution"is introduced in adaptive genetic algorithm and the selection operator, crossover operator, mutation operator are redesign accordingly to improve algorithm's capability.The mathematical model of the optimum design for the explosion-proof motor with high energy density is studied and established. Based on the model, by Visual C++ on Windows operating platform, the software of the optimum electromagnetic design of the explosion-proof motor with high energy density is developed. A sample motor is calculated respectively based on adaptive genetic algorithm, multi-turns evolution genetic algorithm and improved adaptive genetic algorithm. The improvements to adaptive genetic algorithm are confirmed to be successful by the comparison of calculation results to the current design scheme of sample motor.