DC servo motor angle control based on PID control system

In industrial automation, maintaining precise control of direct current (DC) servo motors remains a crucial aspect for enhancing the efficiency and accuracy of motion control systems. To better improve its accuracy and stability, proportional-integral-derivative (PID) control has been widely applied. However, traditional methods often have limitations, such as unclear system dynamics, incomplete integration of control algorithms, and unclear performance indicators, which restrict the development of fields such as robotics and automated manufacturing. To address these challenges, this paper examines the potential application of PID control systems to regulate DC servo motors, using tools such as Tinkercad, Falstad, and MATLAB/Simulink for simulation and implementation. This paper first discusses the problem of parameter tuning of PID control of DC servo motor angle according to the unit step response. Then a systematic approach combining PID control with advanced parameter tuning techniques is proposed. Specifically, it explores the effectiveness of genetic algorithms in optimizing PID parameters and improving the transient response and steady-state performance of DC servo motor angle under different operating conditions. The results demonstrate that the positioning accuracy of the DC servo motor has been significantly improved, verifying the effectiveness of the proposed method in practical applications. The research advances control strategies that are expected to improve the reliability and precision of servo motor applications, thereby contributing to the broader field of industrial automation.