Automatic Temperature Control System Using African vultures optimization algorithm

Abstract

One of the most important tasks in control engineering is tuning a PID controller for maximum
efficiency. However, without a great deal of practice, manual adjustment of PID settings might result in erroneous
results. Using met heuristic algorithms is one method for tweaking the PID controller. These algorithms, which are
inspired by the laws of nature, can effectively find the sweet spot for the PID settings. Therefore, instead of
manually tweaking the PID controller, using met heuristic methods can greatly enhance the system's performance
while decreasing the related expenses. A reliable temperature control system is crucial to the production of a wide
variety of industrial goods. The fact that it uses less energy than rivals makes it a hot commodity. The console is
the most effective way to monitor this procedure. The air conditioning in the room is managed by a whole new
model built on metaheuristic algorithms. The temperature regulation is processed using a PID controller based on
the AVOA algorithm. Overshot, settling, and rising times have all been shortened. along with other methods from
the literature, such the Ziegler-Nichols and PSO Optimizer algorithm. Efficiency was evaluated in terms of percent
overrun, reaction time, settling time, and steady state error. Integral Time Squared Error (ITSE), Integral Time
Absolute Error (ITAE), Integral Absolute Error (IAE), and Integral Squared Error (ISE) are used to compare the
empirical data.