Adaptive Fuzzy PID Control System Design and Investigation Based on Analog Memristive Circuits

The use of PID controllers in industrial control applications is widespread due to their affordability and ease of use. However, traditional PID controllers necessitate expert knowledge for parameter tuning, which can be inconvenient for operators. Moreover, fixed parameters constrain performance and robustness, especially as system complexity and external uncertainties escalate. In this study, we propose employing memristive devices and fuzzy algorithms to facilitate online controller parameter adjustments. We introduce an adaptive fuzzy PID control system based on analog memristive circuits, allowing for dynamic parameter adaptation. Theoretical derivations are corroborated through simulations and experiments. Our results demonstrate that the proposed system achieves a remarkable 66.27% reduction in overshoot and superior tracking performance compared to conventional fuzzy PID controllers.