Vector Controller Tuning of Three Phase Induction Motor Using Hybrid System GA-BF
Dong Hwa Kim, Jae Hoon Cho · 전력전자학술대회논문집 · 2005
This paper is dealing with hybrid system (GA-BF) using the conventional GA (Genetic Algorithm) and BF (Bacterial Foraging) which is social foraging behavior of bacteria. To illustrate characteristics of the proposed hybrid system, a variety of test function is introduced and simulated to illustrate characteristics by mutation of GA-BF, crossover of GA-BF, performance by variation of step size. variation of chemotactic step of GA-BF, and variation of life time of GA-BF. This approach provides us with novel models of their foraging behavior and with new methods for distributed nongradient optimization, and also provides a connection between evolutionary forces in social foraging and distributed nongradient optimization algorithm design for global optimization over noisy surfaces. The vector control of induction motor has been widely used to operate in a wide speed range by using flux weakening at rated speed. However, it is still necessary to advance in controller tuning because of coupling behavior between fluxes in motor. In this paper, tuning of speed controller and current controller in indirect vector control approach is performed using GA-BF method on simulation and experiments. They reveal satisfactory results.