An electromechanical coupling model of TBM's main driving system

Author(s):  
Hanyang Wu ◽  
Junzhou Huo ◽  
Wei Zhang ◽  
Dong Zhu ◽  
Nan Hou
2011 ◽  
Vol 204-210 ◽  
pp. 17-20
Author(s):  
Ding Zhen Li ◽  
Rui Min Jin

This thesis is according to the pitching part of airborne radar servo system. The electromechanical coupling model and optimization model which includes structure parameters and control parameters are built up based on model of mechanism transmission system and electricity control system. The dynamics model of mechanism transmission system includes the nonlinearity of backlash and is considered the influence of parameters for dynamics properties in structure of the mechanism transmission system. The method of integrated structure and control design is applied on the optimization model using GA. Simulation is done based on MATLAB/SIMULINK. Simulation results show that the method of integrated structure and control design is feasible and effective in servo system.


2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Weidong Lv ◽  
Guoqiang Wang ◽  
He Tian

This paper presents a dynamic simulator of the electromechanical coupling start-up of a ball mill. The electromechanical coupling model based on the dynamic model of the ball mill, the characteristic equation of the clutch, and the dynamic model of the induction motor is established. Comparison between the simulation results of angular speed, load torque and current obtained from the model, and the experimental results is conducted to validate the correctness of these simulation results. Results show that the simulation results of the electromechanical model are highly consistent with the experimental results. Two indexes are proposed for evaluation. Finally, a 4500 kW ball mill is used to analyse the start-up process with different operation parameters of the air clutch. The effect of the engagement time and the pressure of the air clutch on the torque, current, and shock extent is analysed. Moreover, the optimum inflation time is determined.


2020 ◽  
Vol 12 (10) ◽  
pp. 168781402096385
Author(s):  
Shuguang Zuo ◽  
Zhaoyang Feng ◽  
Jian Pan ◽  
Xudong Wu

For the problem of relatively severe lateral vibration found in the vertical electrodynamic shaker experiment, an electromechanical coupling dynamic model of the electrodynamic shaker considering low-frequency lateral vibration is proposed. The reason and mechanism of the lateral vibration is explained and analyzed through this model. To establish this model, an electromagnetic force model of overall conditions is firstly built by fitting force samples with neural network method. The force samples are obtained by orthogonal test of finite element simulation, in which five factors of the moving coil including current, vertical position, flipping eccentricity angle, radial translational eccentric direction and distance are considered. Secondly, a 7-dof dynamic model of the electrodynamic shaker is developed with the consideration of the lateral vibration of the moving system. To obtain the transfer function accurately, the stiffness and damping parameters are identified. Finally, an electromechanical dynamic model is established by coupling the force model and the 7-dof dynamic model, and it is verified by experiments. The coupling model proposed can be further used for the control and optimization of the electrodynamic shaker.


Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-12
Author(s):  
Guanyu Zhang ◽  
Yitian Wang ◽  
Yiyao Fan ◽  
Chen Chen

The electromechanical system of a crawler is a multi-input, multioutput strongly coupled nonlinear system. In this study, an adaptive inverse control method based on kriging algorithm and Lyapunov theory is proposed to improve control accuracy during adaptive driving. The electromechanical coupling model of the electromechanical system is established on the basis of the dynamic analysis of the crawler. In accordance with the kriging algorithm, the inverse model of the electromechanical system of the crawler is established by offline data. The adaptive travel control law of the crawler is obtained on the basis of Lyapunov theory. Combined with the kriging algorithm, the adaptive driving reverse control method is designed, and the online system is used to update and perfect the inverse system model in real time. Finally, the virtual prototype model of the crawler is established, and the control effect of the adaptive inverse control method is verified by theoretical analysis and virtual prototype simulation.


2012 ◽  
Vol 249-250 ◽  
pp. 366-371
Author(s):  
Nan Zhang

The characteristics of the self-synchronization in the offset self-synchronous system are put forward. In the paper, based on Lagrange principle, a dynamic model is derived to give its electromechanical-coupling model, which is provided with many variable no-linear characters. A serious of the practical phenomena in the transition process of the system is reasonably explained using the numerical solution simulation, and the variations rules of each parameter in the system are discussed at several types of the typical status. Finally the characteristics of the self-synchronization in the system are generated under the action of the electromechanical coupling. The visually processes are shown in the simulation results, for which the conventional mechanic models are unavailable to explain quantitatively, in which the vibration machines implement fully the transition from asynchronous to synchronous state or from one type of synchronous state to other type. It is fully verified that the system is with the self-healing synchronous ability, and the synchronous movement rules in the electromechanical coupling system are also revealed. For its research not only it is useful to explore the electromechanical coupling model of the offset self-synchronous system, but also it is in-depth to study synchronous motion rules of the self-synchronous system, and it is of the theoretical and practical importance.


2014 ◽  
Vol 952 ◽  
pp. 210-215
Author(s):  
Shi Cheng Hu ◽  
Shuo Ouyang ◽  
Ning Bo Zou ◽  
Xiang Jun Wang

In order to investigate the electromechanical coupling dynamic behaviors of portal crane's hoisting system, the electromechanical coupling model of the system was established by utilizing Lagrange-Maxwell equation. Taking the MQ2535 portal crane as an example, the electromechanical coupling dynamic characteristic curves of the hoisting system was studied based on the MATLAB simulation platform, in addition that the interrelate and interactive characteristics between the electromagnetic system and mechanical system was presented. It is shown that the results have larger difference compared with the results of neglecting the electromechanical coupling effects. This is because of the energy-stored role of the electromagnetic system and the load tracking property of the driving motor that the dynamic load got buffered and then the dynamic load factor became lower. The research results can provide theoretical supports for matching and optimizing the parameters of electromechanical system and improving the portal crane safety.


2013 ◽  
Vol 278-280 ◽  
pp. 586-589
Author(s):  
Zhen Hua Qin ◽  
Zhi You Feng

Electromechanical coupling model of the parallel manipulator is nonlinear, strong coupling, multiple input and multiple output. In this paper,the Matlab SimMechanics module was used in the mechanical system simulation and the mechanical model of 2UPS - RPU (including serial input parallel manipulator) platform was established. At the end of the platform location,the angular velocity is measured and satisfactory results is obtained.


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