JCEEES aims to publish original articles covering the theoretical foundations of major computer, electronic and electrical engineering sciences, as well as academic, commercial and educational aspects that propose new ideas for the application and design of artificial intelligence, software and information systems. In addition to wide-ranging regular topics, JCEEES also makes it a principle to include special topics covering specific topics in all areas of interest mainly in computational medicine, artificial intelligence, computer science, and electrical & electronic engineering science.

Original Article
Controlling the operation of the dc motor by using pid with metaheuristic technology
This paper presents an investigation into precise trajectory tracking and synchronization of two-axes direct current (DC) motor control, with an emphasis on a cascade proportional-plus-integral (P-PI) controller to regulate the speed and position of a single-axis permanent magnet DC (PMDC) motor. Various methods were explored for the controller’s design process, including classical methods (CM) and three optimization strategies: genetic algorithm (GA), dandelion optimization algorithm (DOA), and butterfly optimization algorithm (BOA), with the latter found to be the most effective. Simulation was a crucial component in assessing the efficiency of these methods. A comparative analysis of four tuning strategies (CM, GA, BOA, and DOA) was conducted to ascertain optimal settings for the P-PI cascade controller. The DOA outperformed the others, providing accurate tracking with no deviation from the reference location or speed overshoot. Moreover, DOA ensured safety by limiting voltage and current to prevent potential damage to the motor. The findings thus suggest that the proposed P-PI controller with DOA can serve as a reliable solution for speed and position control in single-axis PMDC motors.

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Volume 1, Issue 2, 2023
Page : 34-40