Design of DC power based on DSP self-adaptive fuzzy control

WU Yan-hua， QIU Li
（College of Information and Electrical Engineering， Heilongjiang Institute of Science and Technology，
Harbin 150027， China）

Abstract： The conventional DC power controlled by analog and combination digital needs more hardware，and when the hardware design is once completed，the tactic would not be changed，so the ploy is not flexible enough. In order to solve the problem，the phased-shifted PID control method was put forward based on adaptive neuro-fuzzy theory，and the strategy was applied to the phased-shifted PWM DC power. The power was mostly composed of uncontrollable rectifier converter，booster and DC/DC converter. At last，the simulation models were constructed to verify the plan. The results indicate that it can availably compensate for the lack of conventional control with little overshoot and very accurate steady-state，and effectively settle complicated control. It has excellent dynamic adaptability in various environments and has made the soft-switching for the switch. So it can provide stability and security for the power，which meets the actual needs of progress on the characteristic of high frequency，intelligence，modularity，and downsizing.
Key words： soft switch； digital signal processor（DSP）； DC power； proportion-integral-derivative（PID）control； adaptive neuro-fuzzy control