The heat exchanger system (HES) of an air conditioner (AC) has difficulty in maintaining the proper output temperature during heat exchange in the existing system. Therefore, a controller has been created to control this outlet procedure in HES. However, it has major vibrations, heat and exchanger leakages, energy consumption, fouling, and other difficulties that cause it to overheat. To achieve optimal tuning, a mixture of gases, pressure, and humidity must be optimized. Thus, to achieve the exact solution, the paper proposes a novel pine sleek PID (PSP) controller that uses fuzzy logic in the adaption of Gaussian member functions and a multivariable exponential method to eliminate vibration and thermal exchanger leakages. Also, the integral square error (ISE) was optimized using the global optimization principle of the Luus–Jaakola (LJ) algorithm, which reduces energy usage and minimizes the error. Meanwhile, to optimize the maximum peak value with the shorter feedback process, it controls the various factors to get the desired temperature. In comparison to the previous technique, the proposed technique achieves a peak time of 1.0 s, which is 0.8 s faster than the auto-tuned PID. As a result, the proposed method effectively provides a PID control system in an AC heat exchanger with the largest peak value in the smallest time, proving efficiency.