Permanent Magnet Synchronous Motors have the advantages of small fooprint, high operating efficiency, strong power and large starting torque, and are widely used in high-tech industries such as aerospace, navigation and automobiles. However, due to the permanent magnet materials used in the permanent magnets, demagnetization failures are pro to occur in the case of High temperature and short-circuit between turns, which greatly effects the stable operation of the Permanent Magnet Synchronous Motor.

Driven by sustainable development strategies, Permanent Magnet Synchronous Motors (PMSM) are widely used in new energy sources, industrial production and power generation due to their simple structure, small size and high reliability. Short circuits between turns are a common and destructive type of fault in PMSM applications, and if not detected and resolved in time can aggravate motor damage and even threaten life safety and cause serious economic losses.

According to the radar network deployment is a multi-objective optimization, and a host of intractable combinatorial optimization problems, established an optimal deployment based on Radar Network fixed position, descript of the problem Radar network elements in detail. Using intelligent type and parallelism of Genetic algorithm to solve the problem and simulate. In the condition of given resources, gain a rational radar network system strategic deployment.