A Novel Approach to Microwave Heating Control System: Crow Search Algorithm-Based PID Controllers

Abstract

Microwave heating technology has been implemented in various fields of life due to its superior advantages over conventional heaters. These advantages have sparked significant interest among researchers to further develop this technology, particularly from control system point of view. One crucial aspect of control system microwave heating development is finding an optimal controller tuning method to control the temperature properly. However, the research on control system tuning for this topic is still in its early stages. The main aim of this article is to utilize a novel approach with the potential to effectively enhance the performance of microwave heating control systems, namely Crow Search Algorithm (CSA). Autoregressive with Exogenous Variables (ARX) is used to simulate the proposed controller and assess its performance. The proposed controller is evaluated through simulations using MATLAB. Based on the fitness value tests, the optimized CSA solution tracks heating patterns well and predominantly produces a relatively small standard deviation of fitness values in the testing of the microwave heating control system. Overall, CSA effectively optimized controller parameters and achieved efficient control for the microwave heating system.