With the continuous improvement of modern industrial automation, the motor gear electromechanical coupling system, as a widely used transmission system in industrial production, has become one of the research hotspots. The motor gear electromechanical coupling system consists of a motor, a gear system, and an output shaft, and has the advantages of simple structure, high torque density, and high precision. However, there are also some problems in the practical application of the motor gear electromechanical coupling system, such as the complexity of system dynamics performance, noise and vibration issues, and component wear, which have an impact on system performance and reliability. Therefore, in-depth analysis and research on the electromechanical coupling dynamics characteristics of these systems are of great value for optimizing their performance, reducing costs, and improving reliability. The study of the electromechanical coupling dynamics of motor gear systems has become one of the important research directions in the field of mechatronics integration, and many scholars are constantly improving the dynamic models. A electromechanical coupling dynamic model of the cutting section transmission system of a coal mining machine under non steady state conditions was established, and the dynamic characteristics of the system under impact loads were discussed. Explored the influence of connection stiffness, damping, and gear mesh stiffness on the dynamics of the electric transmission system in the cutting machine cutting machine. A dynamic model of permanent magnet synchronous motor and a nonlinear dynamic model of gear transmission system were established, and the electromechanical coupling effects of the motor and transmission system under various typical working conditions were simulated and analyzed. A dynamic model of an electrically driven multi-stage gear system considering the electromagnetic characteristics of induction motors and the translational rotational vibration of gearboxes has been established. Studied the influence of electromagnetic effects on the natural vibration characteristics of gearboxes. The torsional response characteristics of the gear transmission system and the frequency spectrum distribution of the motor current under impact load were analyzed through simulation. Revealed the dynamic changes in torsional vibration of the gear system under the influence of external impact forces, and how these changes are reflected in the frequency spectrum characteristics of the motor current. Furthermore, the research focuses on the integration of the nonlinear magnetic flux network model of asynchronous motors and the lateral torsional coupling dynamic model of planetary gear rotor systems, and constructs an electromechanical coupling model that considers the influence of internal excitation factors or parameter changes such as machine tool slotting, magnetic saturation phenomenon, time-varying mesh stiffness, and shaft stiffness variation on the dynamic behavior of the system. Considering the factors of motor harmonic torque and unbalanced magnetic tension excitation, the influence of electromagnetic and structural parameters on system vibration is revealed. A motor gear electromechanical coupling model applicable to different speed operating conditions was established, and the dynamic characteristics of the mechanical system and the relationship between the motor stator current were derived using the dq axis coordinate transformation method. A dynamic model of permanent magnet synchronous motor and planetary gear system was established, and the influence of gear crack fault on stator current was studied.
On the basis of fully considering the meshing characteristics of helical gears, a dynamic model of a single-stage helical gear reducer was constructed. In order to simplify the model and focus on studying its core dynamic behavior, the torsional degrees of freedom of each gear in the x and y directions were ignored in the model, and only the translational degrees of freedom in the x, y, and z directions and the torsional degrees of freedom in the z direction were considered. Based on this, a helical gear dynamic model with 8 degrees of freedom was established.
Conclusion
An in-depth analysis was conducted on the electromechanical coupling transmission system consisting of a permanent magnet synchronous motor and a first stage helical gear reducer, and an electromechanical coupling dynamic model was constructed. By applying a constant speed and constant load on the system
The working conditions and dynamic response characteristics of electrical signals in electrical systems were discussed in detail. The research results reveal that the operating frequency of mechanical systems can significantly modulate the stator current and electromagnetic torque in electrical systems, thus proving that the state of mechanical systems directly affects the performance of electrical systems. Furthermore, as the stator current contains detailed information reflecting the frequency of the gear transmission system, analyzing the frequency signal of the motor stator current can effectively monitor the operating status of the gear transmission system. This discovery not only provides a new perspective for understanding the dynamic characteristics of gear transmission systems, but also provides important theoretical support for the development of advanced vibration monitoring and fault diagnosis technologies for transmission systems.