The Research of Inverter's Control based on Immune Genetic Algorithm

This paper evaluates immune genetic algorithms (IGA) as a new nonlinear technique for control of inverter. The so-called IGA strategy is characterized by its speediness, diversity, tolerance and memory. It is well suited for online microprocessor implementation. A special C program for the algorithm is compiled. And the dynamic experimental platform based on DSP was built. Simulation and experiment results show that the algorithm quickly converged to the good solution within 25th iterations, and the solution's fitness and switching loss are great improved compared with the traditional control strategies