Optimization Of Line-start Permanent Magnet Synchronous Motor Based On Adaptive Genetic Ant Colony Algorithm

Line-start permanent magnet synchronous motor is widely used in oil and textileindustry by its high efficiency and power factor, which must be taken intoconsideration when we design this type of motor. Rotor Squirrel-cage bars areinstalled in the motor, compared with the ordinary permanent magnet motor, itsprocess of start and pull into synchronization is more complex, which make thedesign more difficult. So the necessary method of motor optimization design shouldbe adapted to optimize the motor in order to meet the requirements of optimizedresult.First of all, the origin, the developing course, related problems and basic principleof the traditional ant colony algorithm are introduced in this paper, which proposesan improved adaptive genetic ant colony algorithm and identifies the condition ofcombining genetic algorithm with ant colony algorithm, making algorithmoptimization process have the advantages of both algorithms, and gives an improvedpheromone updating strategy, and sets up the efficient algorithm parameters.Traditional ant colony algorithm and improved adaptive genetic ant colony algorithmare respectively used to calculate minimum optimization of the known function，theresult of comparing the performances of evolution curves and the mean change overtime curves demonstrate that the improved adaptive genetic ant colony algorithm hasbetter performances.Additionally, a4-pole7.5kW line-start permanent magnet synchronous motor areused as the object of the study, in order to improve the efficiency of the motor, theoptimization design mathematical model of the motor are established, which set upthe objective function and choose the structural parameters which have significanteffect on the objective function as the optimization variables. In addition, constraintsand the corresponding penalty function are set up to meet the requirements of themotor design.Finally, the improved adaptive genetic ant colony algorithm is applied to optimize the motor and get a new set of electromagnetic design. Compared with the originaldesign, confirms that the improved algorithm is successful to optimize the motor.The optimized electromagnetic design is simulated using the finite element method,stall torque changes over time curve, speed and torque characteristics change overtime and the magnetic flux density and the current density contours in a stable run-time are obtained. The results of the optimization meet the requirements of motordesign, which is validated analyzing those characteristics and contours.