A Comparative Evaluation of GA PID and PID Tuner Approaches for Chemical Batch Reactor

The Batch Reactor is a commonly used apparatus in various process industries to produce a diverse range of products. However, the inherent nonlinearity and instability associated with chemical reactors pose significant challenges for designing effective control schemes that can reject disturbances and maintain reactor temperature at a reference value to ensure high-quality product manufacturing. In this paper, the conventional PID-Tuner method is used for tuning the controller for reactor, but it may not always provide effective results. Therefore, a GA-PID technique is used to optimize the control gains of the PID controller. These techniques utilize the Genetic Algorithm (GA) to minimize the cost function and derive the optimal PID controller gains. The proposed techniques offer fast computation and error reduction and improve the tracking and robustness behaviour of the chemical reactor system. The MATLAB simulation is conducted to analyse and compare the performance of the PID -Tuner and GA-PID controllers, and the results show a significant improvement in terms of peak overshoot, settling time, peak time, rise time, for the designed controllers.