Optimal Control Of Asynchronous Motor Mechanical Efficiency Based On Genetic Algorithms

The electrical equipment which achieves electrical energy and mechanical energy conversion collectively known as the motor. And the motor converses electrical energy into mechanical energy by the principle of electromagnetic induction. The device which converses mechanical energy into electrical energy called the generator, and the device which converses mechanical energy into electrical energy called the electric motor. The AC motor is widely used in production, especially the three-phase asynchronous motor. Asynchronous motor is large, a wide range of energy-consuming equipment, the annual electricity consumption of the asynchronous motor accounted for about 80% of industrial power consumption. As the asynchronous motor has a simple structure, rugged, reliable, low cost, easy maintenance, etc., they are widely used to drive a variety of metal cutting machine tools, cranes, forging machines, conveyor belts, foundry machinery, low power fan, water pump, and so on. However, most of the asynchronous motors not run at fully loaded situation, or not always run at full capacity in practice work, the electric motor often works at full load voltage and light load or the state of frequent load fluctuations, which results in low power factor and efficiency of induction motor, generally the power factor is less than 0.8, and such non-economic operation of motor waste a lot of energy, energy conservation is becoming increasingly prominent.Genetic algorithm is a simple and efficient optimization algorithm, which pointed out a general way for us to solve complex optimization problems, and also provides a strong basis for the optimization problem of three-phase asynchronous motor's mechanical efficiency at light load or no load. This paper theoretical analysises the mechanical efficiency of three-phase asynchronous motor at light load or no load, and put forward a way to improve the mechanical efficiency of three-phase asynchronous motor at light load or no load by the principle of genetic algorithm, then proves the reliability of the optimization in theory. From the experiment and simulation results, we can see that the optimal method based on genetic algorithms has significantly improved the mechanical efficiency of three-phase asynchronous motor at light load or no load, and it has a high theoretical and practical significance.