The Differential Evolution Algorithm And Simulation On The AC Motor System Of Vector Controlled Variable-frequency Drives

AC Motor speed control system is dependent on the development of power electronic technology, modern control theory, computer control, microelectronics and motor princip-le, technical development. As a multivariable nonlinear and strong coupling system, AC motor is usually used widely in various fields in our daily life. For other engineering c-ontrol problem, Control algorithm and the conclusion which are adopted to control the s-ystem have certain directive significanceThe vector control variable-frequency drives of AC motor based on the intelligent PI-D controller is mainly introduced. According to the analysis of the system base on conv-ention PID controller, DE-Dol algorithm of PID controller, the performance was studiedThis paper has analyzed the auto-adapted performance. The main research contents are as followsFirstly, The vector control variable-frequency drives system is established based on v-ector transformation principle and Simulink/SimPowerSystems. With the simulation on dy-namic and static performance, it can be proved that the system using convention PID controller can simulate the real system well. The application effect is idealSecondly-Drawing ideas from the principle of social work division of ant colony, to imitate the stimulative behavior of ants, an adaptive differential evolution algorithm(DE-D-ol, Division of Labor in Differential Evolution)with the characteristic of social work divisi-on of ant colony is presented.The number of individuals choice successful or failure strat-egy are seen as the positive or negative stimulation of this strategy. In the DE-Dol algori-thm,one trial vector generation strategy is selected from the candidate pool according to t-he probability of stimulation learned from its success rate in generating improved solutions with in a certain number of previous generations.In this way, the three control paramet-ers (the scaling factor F,the crossover probability CR and population size NP) and mutati-on strategy are self-adapting adjust based on the positive or negative stimulation of releva-nt strategy.In addition, this DE-Dol algorithm was observed experimental results on25co-mmonly used CEC2005test functions. The experimental results verified the effectiveness and usefulness of the proposed method.And then, proposed DE-Dol algorithm PID controller adjusting system structure,regar-ded PIAE index as the fitness function of the algorithm.The strategy candidate pool the DE-Dol algorithm has multiple mutation strategy, so that it not only has the diversity,b-ut also has the advantage of fast convergence.The optimization performance greatly excee-ds the performance of the strategy alone.DE-Dol algorithm takes advantages of the differe-ntial evolution algorithm optimization advantages and the simple PID controller. So that in the process of operation of the system, the controller is adaptive and self-optimizing.Finally, based on the GUIDE designed AC motor system model of human-computer interface.The interface can real-time control the simulation model of the start-stop, and r-eal time control data mapping function. Enter the simulation time, the load torque, stat-or resistance parameters in the GUIDE interface, and response curve and speed curve of the AC motor system.The standard PID response graph and DE-Dol algorithm adaptive PID controller response curves to make detailed comparisons, in order to illustrate the s-uperiority of the DE-Dol algorithm.