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Abstract

This paper presents a Fuzzy-SPT (Fuzzy Set-Point Tracking) controller designed to combine the strengths of FLC (Fuzzy Logic Control) and PID (Proportional-Integral-Derivative) control while mitigating their limitations across varying operating conditions. Inspired by state-dependent reasoning but implemented within a single controller, the method uses internal logic to adapt the control effort across different operating regions. FLC handles rapid changes and nonlinear transients, enabling fast system response without overshoot, while PID-like integral action is activated when the FLC reaches steady state or enters a threshold region near the set point, eliminating residual errors and maintaining stable performance. By applying each behavior in its most suitable region, the Fuzzy-SPT controller achieves a unified hybrid approach without complex switching mechanisms. Simulation results using a simplified battery model with forced convection cooling demonstrate improved overall system performance, achieving better RMSE (Root Mean Square Error) values compared to standalone FLC and PID controllers, and provide a framework for exploring condition-driven control behavior within a single, interpretable unit. The findings highlight a practical methodology for designing flexible adaptive controllers that leverage complementary strengths of multiple strategies.

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