Abstract

ne of the critical characteristics that must be regulated in today's industry is temperature. It is crucial that this temperature regulation must be exact and quick. Since they are not adjusted to their full capability, the controller that used to manage the performance of the electric furnace's temperature is no better than that of the conventional controllers. It has a significant amount of overshoot and excessively long rising and settling times. This work introduces a PID controller based on the Grey Wolf Optimization Algorithm (GWO) so that to address the PID controller's low accuracy, long rising time, and long settling time. Additionally, Field Programmable Gate-Array (FPGA) is used to execute the suggested control scheme because of its large data storage capacity, low energy consumption, and quick operation. Due to their accessibility, the Spartan-6 (XC6SLX45T-3FGG484) board and Xilinx system generator blocks are used in the simulation. The results stated that the proposed approach is faster and more settle in tuning PID parameters and also the overshoot was lower; thus, it outperformed on the traditional methods.

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