Application of Fuzzy Control Algorithm in Cooperative Control of Frequency Converter and Active Filter

In response to the problems of dynamic response lag and weak anti-interference in the coordinated control of frequency converters and active filters, this paper adopts fuzzy control algorithm optimization. Establish a system dynamic model based on state space model and small signal analysis, design fuzzy logic control rules, and use system identification to optimize parameters. Through the synergistic effect of fuzzification, rule-based reasoning, and deblurring, the fuzzy reasoning mechanism in this paper can achieve effective mapping of inputs and outputs, ensuring real-time response and stable control of the system under complex dynamic conditions. The experiment shows that compared with traditional PID control, fuzzy control shortens the response time to 0.5 seconds and significantly improves the anti-interference ability, verifying the effectiveness and stability of this algorithm in complex working conditions. This well demonstrates the excellent improvement effect of fuzzy control algorithm in the collaborative control of frequency converters and active filters.