Optimal control of asynchronous motor mechanical efficiency based on genetic algorithms

Genetic algorithm is an optimization search algorithm based on biological principles of natural selection and genetic genetics. This paper puts forward an idea of using genetic algorithms to solve the problem of low mechanical efficiency of asynchronous motor under no load or light load, and testifies the possibility of mechanical efficiency optimization in theory. The results of experiments and simulations show that the optimal control of asynchronous motor mechanical efficiency based on genetic algorithms is an efficient method and it has extremely high application values.