Multi-objective Optimization Design Of Single-phase Series Motor

With the growing desire for higher life quality, the demands for electric tools and small home appliances also increase significantly. Due to big starting torque, high speed, small size and other advantages, single-phase series motors are widely used in electric tools and electrical household appliances such as vacuum cleaners, blenders, hair dryer and wool shearing tools. However, there is a great gap between the huge market demands and the research and manufacturing capacity in this industry in our country. Many manufacturers are still stuck in the copy phase. At present, the existed design software of motors is almost based on the platform DOS. It has some disadvantages, such as unfriendly interface, single function and longer design cycle. Consequently, how to raise design efficiency of single-phase series motor and lower material cost and improve existing designs to meet design requirement is an important issue to be focused on in this industry.To resolve this problem, a single-phase motor multi-objective optimization system was developed based on the electromagnetic design. The genetic algorithm(GA) has been applied to achieve the multi-objective optimization for motor efficiency and the effective material cost, so as to make the technical and economic performance indicators are more reasonable.The structure and principle of single-phase series motor was described. The state-of-art and the basic principle of genetic algorithm(GA) and series motor electromagnetic design were introduced in detail, respectively. A mathematical model of multi-objective optimization for single-phase motor was built based on the combination of genetic algorithm and special properties of single-phase motor. The system program of multi-objective optimization for single-phase series motor was programmed by using object-oriented programming platform, Borland C++ Builder. A single-phase series motor electromagnetic design example was given. The design values are compared with the actual values. The result shows that the deviations between the design values and actual values are within the range of design requirement. Hence, it was found that the design system has higher accuracy and practicality. Based on this, the multi-objective optimization process for single-phase series motor was performed by means of optimum design program and a good result was obtained.