<p>This paper presents a simplified fuzzy logic proportional-integral-derivative (FLPID) controller tailored to address the nonlinear temperature characteristics of heated glass systems. Conventional PID controllers often struggle to manage temperature overshoot and stability due to the response delay and nonlinear behavior inherent in heated glass. Conventional FLPID controllers can adjust control coefficients to mitigate these issues, but they require high performance microcontroller units (MCUs) to handle the significant computational load, which increases cost and complexity. The proposed FLPID controller overcomes these limitations by dynamically adjusting only the proportionality coefficient (<i>k</i>_<i>p</i>) through a precomputed fuzzy logic-based lookup table. This lookup table is generated by calculating and averaging the rate of change of <i>k</i>_<i>p</i>, allowing for efficient real-time adaptation without the need for a high-performance MCU. Experimental results using a 50 × 36&#xa0;cm heated glass system verified that the proposed controller significantly improves temperature stability and reduces overshoot compared to the conventional PID controller.</p>